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JSJ 405: Machine Learning with Gant Laborde

Guests :

Published : Oct 31, 2019

Duration : 42 Minutes

Show Notes

Gant Laborde is the Chief Innovation Officer of Infinite Red who is working on a course for beginners on machine learning. There is a lot of gatekeeping with machine learning, and this attitude that only people with PhDs should touch it. In spite of this, Gant thinks that in the next 5 years everyone will be using machine learning, and that it will be pioneered by web developers. One of the strong points of the web is experimentation, and Gant contrasts this to the academic approach.

They conversation turns to Gant’s course on machine learning and how it is structured. He stresses the importance of understanding unicode, assembly, and other higher concepts. In his course he gives you the resources to go deeper and talks about libraries and frameworks available that can get you started right away. His first lesson is a splashdown into the jargon of machine learning, which he maps over into developer terms. After a little JavaScript kung fu, he takes some tools that are already out there and converts it into a website.

Chris and Gant discuss some different uses for machine learning and how it can improve development. One of the biggest applications they see is to train the computers to figure monotonous tasks out while the human beings focus on other projects, such as watching security camera footage and identifying images. Gant restates his belief that in the next 5 years, AI will be everywhere. People will grab the boring things first, then they will go for the exciting things. Gant talks about his creation NSFW.js, an open source train model to help you catch indecent content. He and Chris discuss different applications for this technology.

Next, the panel discusses where machine learning can be seen in everyday life, especially in big companies such as Google. They cite completing your sentences in an email for you as an example of machine learning. They talk about the ethics of machine learning, especially concerning security and personal data. They anticipate that the next problem is edge devices for AI, and this is where JavaScript really comes in, because security and privacy concerns require a developer mindset. They also believe that personal assistant devices, like those from Amazon and Google, will become even more personal through machine learning. They talk about some of the ways that personal assistant devices will improve through machine learning, such as recognizing your voice or understanding your accent.

Their next topic of discussion is authenticity, and how computers are actually incredibly good at finding deep fakes. They discuss the practice of placing passed away people into movies as one of the applications of machine learning, and the ethics surrounding that. Since developers tend to be worried about inclusions, ethics, and the implications of things, Gant believes that these are the people he wants to have control over what AI is going to do to help build a more conscious data set.

The show concludes with Gant talking about the resources to help you get started with machine learning. He is a panelist on upcoming DevChat show, Adventures in Machine Learning. He has worked with people with all kinds of skill sets and has found that it doesn’t matter how much you know, it matters how interested and passionate you are about learning. If you’re willing to put the pedal to the metal for at least a month, you can come out with a basic understanding. Chris and Gant talk about Tensorflow, which helps you take care of machine learning at a higher level for fast operations without calculus. Gant is working on putting together a course on Tensorflow. If you’re interested in machine learning, go to academy.infinite.red to sign up for Gant’s course. He also announces that they will be having a sale on Black Friday and Cyber Monday.

Panelists

Christopher Buecheler

With special guest: Gant Laborde

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Transcript

Hey folks, I'm a super busy guy and you probably are too. You probably have a lot going on with kids going back to school, maybe some new projects at work. You've got open source stuff you're doing or a blog or a podcast or who knows what else, right? But you've got stuff going on and if you've got a lot of stuff going on, it's really hard to do the things that you need to do in order to stay healthy. And one of those things, at least for me, is eating healthy. So when I'm in the middle of a project or I just got off a call with a client or something like that, a lot of times I'm running downstairs, seeing what I can find that's easy to make in a minute or two, and then running back upstairs. And so sometimes that turns out to be popcorn or crackers or something little. Or if not that, then something that at least isn't all that healthy for me to eat. Uh, the other issue I have is that I've been eating keto for my diabetes and it really makes a major difference for me as far as my ability to feel good if I'm eating well versus eating stuff that I shouldn't eat. And so I was looking around to try and find something that would work out for me and I found these Factor meals. Now Factor is great because A, they're healthy. They actually had a keto line that I could get for my stuff and that made a major difference for me because all I had to do was pick it up, put it in the microwave for a couple of minutes and it was done. They're fresh and never frozen. They do send it to you in a cold pack. It's awesome. They also have a gourmet plus option that's cooked by chefs and it's got all the good stuff like broccolini, truffle butter, asparagus, so good. And, uh, you know, you can get lunch, you can get dinner. Uh, they have options that are high calorie, low calorie, um, protein plus meals with 30 grams or more of protein. Anyway, they've got all kinds of options. So you can round that out, you can get snacks like apple cinnamon pancakes or butter and cheddar egg bites, potato, bacon and egg, breakfast skillet. You know, obviously if I'm eating keto, I don't do all of that stuff. They have smoothies, they have shakes, they have juices. Anyway, they've got all kinds of stuff and it is all healthy and like I said, it's never frozen. So anyway, I ate them, I loved them, tasted great. And like I said, you can get them cooked. It says two minutes on the package. I found that it took it about three minutes for mine to cook, but three minutes is fast and easy and then I can get back to writing code. So if you want to go check out Factor, go check it out at factormeals. Head to factormeals.com slash JSJabber50 and use the code JSJabber50 to get 50% off. That's code JSJabber50 at factormeals.com slash JSJabber50 to get 50% off.

Hey folks, I'm a super busy guy and you probably are too. You probably have a lot going on with kids going back to school, maybe some new projects at work. You've got open source stuff you're doing or a blog or a podcast or who knows what else, right? But you've got stuff going on and if you've got a lot of stuff going on, it's really hard to do the things that you need to do in order to stay healthy. And one of those things, at least for me, is eating healthy. So when I'm in the middle of a project, or I just got off a call with a client or something like that. A lot of times I'm running downstairs, seeing what I can find that's easy to make in a minute or two, and then running back upstairs. And so sometimes that turns out to be popcorn or crackers or something little, or if not that, then something that at least isn't all that healthy for me to eat. Uh, the other issue I have is that I've been eating keto for my diabetes and it really makes a major difference for me as far as my ability to feel good if I'm eating well versus eating stuff that I shouldn't eat. And so, um, I was looking around to try and find something that would work out for me and I found these factor meals. Now factor is great because a, they're healthy. They actually had a keto, uh, line that I could get for my stuff. And that made a major difference for me because all I had to do is pick it up, put it in the microwave for a couple of minutes and it was done. Um, they're fresh and never frozen. They do send it to you in a cold pack, it's awesome. They also have a gourmet plus option that's cooked by chefs and it's got all the good stuff like broccolini, truffle butter, asparagus, so good. And you can get lunch, you can get dinner. They have options that are high calorie, low calorie, protein plus meals with 30 grams or more protein. Anyway, they've got all kinds of options. So you can round that out, you can get snacks like apple cinnamon pancakes or butter and cheddar egg bites, potato bacon and egg, breakfast skillet, you know obviously if I'm eating keto I don't do all of that stuff. They have smoothies, they have shakes, they have juices, anyway they've got all kinds of stuff and it is all healthy and like I said it's never frozen. So anyway I ate them, I loved them, tasted great and like I said you can get them cooked. It says two minutes on the package. I found that it took it about three minutes for mine to cook, but three minutes is fast and easy and then I can get back to writing code. So if you want to go check out Factor, go check it out at factormeals, head to factormeals.com slash JSJabber50 and use the code JSJabber50 to get 50% off. That's code JSJabber50 at factormeals.com slash JSJabber50 to get 50% off.

CHRISTOPHER BUECHELER: Hello everybody and welcome to JavaScript Jabber. I'm Chris Beechler from closebrace.com coming to you from Providence, Rhode Island. Today our guest is Gant Laborde and he's gonna be talking to us about machine learning which is awesome for me because I know very little about it and have lots of questions. Hi Gant, why don't you tell us a little bit about yourself?

GANT_LABORDE: Hey, all right. So I am CIO of InfantRed but that stands for Chief Innovation Officer. I love coding. I've been coding for a ridiculously long time, about 20 years professionally now. And I think that I've gotten a chance to really explore, burn out, and come back, and then just really find the passion behind what it is. And I think, you know, my goal is to become a mad scientist in helping people create awesome things.

CHRISTOPHER BUECHELER: That is a noble goal.

A couple of years ago, I put out a survey asking people what topics they wanted us to cover on devchat.tv and I got two overwhelming responses. One was from the JavaScript community. They wanted a react show and the other one was from the Ruby community and they wanted an Elixir show. So we started both. The react show though is react roundup. And every week we bring in people from the React community and we have conversations with them about React, about the community, about open source, about what goes into React, how to build React apps, and what's going on and changing in the React community. So if you're looking to keep current on the current React ecosystem and what's going on in React, you definitely need to be checking out React Roundup. You can find it at reactroundup.com.

CHRISTOPHER BUECHELER: We were chatting a bit before the show started and you said that you're working on a course on machine learning for beginners, so. Tell me a little bit about how one begins with machine learning.

GANT_LABORDE: Well, right now it's a pretty sad and angry world out there. A lot of people that you'll talk to will say, actually, it was really funny as I did this one blog post called machine learning zero to hero. Right now it's on free code camp. I think it has over 10,000 claps, even though they've moved off of medium. And it's still doing really, really well. And one of the first comments I got on that, was somebody saying, well, you can't tell people this because they need to understand the linear algebra and you're just kind of not helping the community and only people with PhDs should be touching machine learning. And it really was just a, it was a bit of bad taste in my mouth because I see this constantly. There's a lot of gatekeeping with machine learning and there's a lot of academia holding on to the secrets not really sharing in a way that developers, you know, people who do this daily and actually understand the workflow. And I see a lot of times data scientists are taken aback by the times that they try to put something in production. All the processing, all the difficulty, understanding staging and DevOps and all these other things, they're sort of alien to them. These are the things that us as programmers could be excelling at, sort of making machine learning tangible and having cool products and building amazing things. I think that that's where we're all going to be in the next five years. Every product is going to have machine learning in it. All the cool startups are going to have it. Google added, in 2012, they had four TensorFlow objects in production. In 2017, I think they had over 4,000. They can't find enough places to shove machine learning.

CHRISTOPHER BUECHELER: That is substantial growth. I think one of the real strong points of the web in general is the experimentation and sort of the attitude of experimentation. People like to just make stuff and sort of see what happens.

GANT_LABORDE: It's very rewarding and we build fun things, interactive things. I really enjoy doing silly stuff. This is sort of the way I learned how to program. That's the way I've learned machine learning as well. And the more I sort of like read the academic papers, the more I feel like there's a great chance for developers and it's a demand for developers to come in here and sort of reform the structure of this cool new technology that's getting like, sort of like JavaScript, right? There's a new thing every week. The same thing's happening over in machine learning, but they don't know how to handle it as well.

CRIS: So you think because it comes more out of academia that they're used to a little bit of a different approach from what developers are used to?

GANT_LABORDE: Oh yeah, very, very, very much. Now, there are some similarities. For instance, academia is really awesome about sharing data, like open access to data, helping out people. I'm sure they had teams of TAs labeling stuff for weeks on end and they just kind of give that stuff away. And sort of like their version of open source. But as we're over here on the other side of things, we're trying to figure out how to connect these into a product. How we... A paper now doesn't come with... A developer builds a blog post and a GitHub repo. And in academia, they take screenshots and release white papers and get published. That's their version of it. And then we come over and say, oh, cool, can I see this information? They're like, sure, no problem. Here's how you go gather it yourself. And the onboarding's just, it's very high, high, high garden walls on some of these things. And if anything, I think JavaScript developers know how to go knock that down.

CHRISTOPHER BUECHELER: Right, and so your goal is to help facilitate that.

GANT_LABORDE: Oh yeah, I think it's really cool. And there's a lot of movers and shakers already there. And my trick here is that I'm semi-creative. There's a lot more way creative people out there. I do a great job playing second fiddle to help those people get that information.

CHRISTOPHER BUECHELER: And so the test you're building, what's, sorry, not the test, the course that you're building. What's sort of the approach that you're taking there?

GANT_LABORDE: Oh, yeah. So there are some YouTube personalities out there. They're like, you don't need math. You can do everything in three months. I'm not going to go that route. I'm going to say just like it is important that you understand. Unicode, you understand bytes, you understand like what is assembly doing? Hell, if you really want to get into it, like if you have an application and it gets deep deep deep into performance, you might need to understand discrete logic and all those kinds of things. For the most part, you don't, right? You kind of just need to understand these higher concepts that have been figured out by these very very very smart people. And so I think the same thing kind of comes here is that I'm not going to start you in the linear algebra. But I'm going to give you a couple of the things that say, if you want to go deeper into it, here's the resources. If you have to go deeper into it, here are the resources. But there are some really cool libraries already available. There are frameworks available that allow you to actively start kicking butt and building cool websites right now. What I start off with is I kind of give a splashdown into the crazy jargon terminology to help people understand. I mean, I think a lot of these terms come from academia and mathematical sort of histories. And so they sound really confusing. And I just take those and map them over to developer terms. Right? So, in machine learning, there's a machine learning model. And that is just, I call it, I think it's just a function. Data in, data out. Like, it can take parameters in and it gives you something out. That's a function. It's called a model because of you know, the inner workings and the graph and the weights that that kind of came into this. And if you're building one in math lab, you want to go ahead and say, okay, I'm going to call this a model. But for a developer, we can think of it like a function. And so I think the terminology, then a little bit of like, kung fu with it, you know, a little bit of JavaScript kung fu around here, I can take this data and move it around however I want to. And then the last thing I like to do is let's take some of the cool things that are already out there and just, just like convert them into a website. So I trained a model, which by the way, is a complete, uh, perfectly application of, of what you should machine learning for. I trained one to solve, uh, fizz buzz.

CHRISTOPHER BUECHELER: Coding interview question.

GANT_LABORDE: Anybody out there who knows fizz buzz is just the most ridiculous interview question ever. And so it's a complete pointing a missile at an anthill for fun. We bring in a AI, a machine learning model that can sort of basically has the answers to Fizz Buzz, and it effectively just figures those out as it goes forward, and then show you how to like bring something like that in there. We also play with images and cool kinds of classification algorithms and stuff. So I think that you can take a model that someone in academia with a PhD created, maybe like the joke from Silicon Valley, hot dog, not hot dog, right? You can get that model, download it, and then put it into an app. And then you don't have to actually, as a developer, you can have all these benefits of these extremely cool machine learning algorithms without having to go out there and train one on your GPU for two weeks.

CHRISTOPHER BUECHELER: Nice, so you actually can access the data or the models that other people have built and apply that immediately to whatever you're building.

GANT_LABORDE: There's so many cool creations and things that people are doing out there. And honestly, it's not that hard to find someone who's done something that you could really use.

CHRISTOPHER BUECHELER: This is not necessarily on the subject of what you could really use, but I was taking a look at the article that you mentioned, and one of the videos linked in your article is training a computer how to play Super Mario Brothers, Super Mario World, I think. Not necessarily the most applicable model on the planet in terms of other uses, but I just thought it was really interesting to take this very high-concept mathematical world network approach and be like, all right, just get through this Mario level.

GANT_LABORDE: Yeah, people are having so much fun with this. So JavaScript goes everywhere, which I think is really fun. You know, you could put JavaScript on a drone. And one of the things that they're doing now is. They're training drones to try to race against humans in drone races. Um, I have a video of it. They're not very good yet. It goes through one of them and then just hit like basically every time I've ever played Flappy Bird, it makes over the first one, then instant death. Yeah. It'd be really cool to have, you know, just like the interesting technology that we can create. We would be able to take JavaScript, put on some awesome things and have it solve problems like Super Mario Brothers. Like I saw somebody actually solve your internet's down dinosaur game. They had AI basically be able to beat that and get a huge high score. It's just a lot of fun kind of applications and what we're seeing, because at the company I work for, Infinite Red, people are coming in with sort of already existing industry ideas and their disrupter is the fact that they're throwing in AI.

CHRISTOPHER BUECHELER: Right.

GANT_LABORDE: So they're like, okay, we're doing something. There are two companies already doing this, but neither of them are already doing AI and that's the thing that we're going to bring. And so when we're implementing that, it's kind of like, actually, this is a little bit of a game changer.

CHRISTOPHER BUECHELER: That's cool. So it seems like one of the main points of value that that would bring is that now you don't, there are certain tasks that are just tedious tasks. You have to throw a bunch of developers hours at the meeting to massage the data or to create the algorithms that do that. And now we're at a point where we can start to train computers. And like you said, just, okay, go use some GPU processes for a few weeks and figure this out. And we can have the human beings focusing on other projects that require less just like banging your head against the wall.

GANT_LABORDE: Way more filling work for, for humans.

CHRISTOPHER BUECHELER: Right.

GANT_LABORDE: That's what I like to think of it as. I mean, here's the gist of it. You have You have an amazing advantage now because remember when there was the whole, there's an app for it world. Like there's an app for that. What happened at that point, we hit a tipping point. People were able to make smart apps, right? And for a little while there, we're like, Oh, I'm surprised by this app. I'm surprised by that app. I'm surprised by this one. There were a couple of people who jumped out ahead and made a lot of money building relatively simple apps just before people knew that that was possible. And then it hit this one moment where everybody kind of got it. It just clicked and then you had an app for everything. And so that's what the head that there's an app for that. That's kind of like where we're at with AI. Over the next five years, it's going to take creative people and developers to kind of put some of these really cool ideas. I mean, you've seen the face app, which is one of those things that kind of took off except for the fact that they were sending all that stuff to the server and taking all the rights. So the aging face app was a problem. No, I mean, honestly, if we did that, I'd say, let's do it on device, you know, and keep it nice and secure. But one of the things that's happening is like people are coming up with ideas and then they're catching on fire. And it's like, oh my God, I didn't know that was possible. And then probably over the next five years, people are going to really come up with things and I think everybody's going to have an AI idea. And it's going to be a little bit, it's going to be a really interesting world to live in because, you know, there are so many things that only paying a person who has no life to just sit there and do, you know, like stare at a security camera, like that's fulfilling work. AI can look at it all day and then tell you the second it sees a person, a cat, a gun, you know, it's great for security. And then it can tell you all kinds of really cool information about it and send notifications. Applications like that, inventory management, the boring things are going to be the things that people grab first. The exciting things are going to be the next wave.

CHRISTOPHER BUECHELER: Right. That makes sense. And the boring things are often the things where there's a decent profit margin where you can just say like, look, you don't have to have reams and reams and reams of video being analyzed by people, you can just have the AI catch the important parts that then maybe a human being needs to take a look at and actually get more in-depth on. That makes sense.

GANT_LABORDE: It's really kind of a cool thing. I'm trying to think of ideas for open source in that world. One of the things that I created is called not safe for work JS, which is don't worry everybody, you don't have to turn the audio down. This is okay. NSFWJS is an open-source train model to help you catch indecent content for you. So one of the things that can happen is Facebook and Google have thousands of employees that dig through content and then remove things that are inappropriate. Right. You as like a small startup or something like that, you can't do that as much. And so what way to do it wrong would be to do it like Tumblr where somebody's uploading a toaster and it's like the 1% mistake, and it's like, you can't upload toasters.

CHRISTOPHER BUECHELER: Or it's a picture of their elbow and it somehow mistakes that for something much more nefarious. Yeah.

GANT_LABORDE: Yeah, but what could be cool is that you have this automatically warning and flagging them. So if you say, hey, by the way, this is gonna get flagged. It's gonna be a little while before it comes up. You could do that on the client's machine before they even upload it. So if they know it's not kosher, they can say, ah, man, I've been caught. I'm not going to upload this at all. Or you could use it, things like between chat, between people where you can't even have a human read that conversation. If you get a message on a forum from a person, you don't want another person sitting through and reading all those messages. But you could run it through an algorithm that says, hey, this person sent you a photo and it's like a scoring of 98 on the not so okay list. You can click and it'll unblur. But that's your choice, right?

CHRISTOPHER BUECHELER: Right, but you might not want to.

GANT_LABORDE: You might not want to. And like, since like cool application, I mean, you could add that tomorrow and it's open source and free and it can go to any product immediately. And it's JavaScript, so it can be in mobile apps, websites, backend. Drones. That's like one of the things I think that's really cool. Like we're able to give that kind of technology for free. And I mean, honestly, a lot of people reached out and said, why didn't you pay wall this? And I don't think that that's where we're at. I don't want to pay wall something as useful as that. You know, the really cool ideas are the next one.

CHRISTOPHER BUECHELER: There's certainly no shortage of people who are using or creating open source software, who have figured out other ways to monetize that than just sticking it behind a paywall. So, you know, it's definitely doable. And I actually was just thinking, you were saying that, you know, Google and Facebook have countless employees, they can throw out this problem. But even there, this kind of stuff is valuable because I've read things about, for example, employees at YouTube who have to look at inappropriate stuff so much that it's actually difficult for them. It has a negative impact on their lives. If you've got a computer that's filtering out a lot of the most egregious stuff, you're actually helping your employee base not have to deal with that.

GANT_LABORDE: Yeah. And it's funny those companies are the ones saying like, oh, we don't have enough data to do that. I actually have a article where Facebook was saying that. And I'm like, I think you have the most data to be able to identify these things. Like, I think we're all trying to catch up to you.

CHRISTOPHER BUECHELER: Right. It seems like you have plenty of stuff you could be training the algorithms on compared to, you know, the average startup who's getting maybe 100 images a day in Facebook, I'm sure is doing easily 100,000, if not 100 million.

GANT_LABORDE: With people labeling and curating and tagging them as mistakes.

CHRISTOPHER BUECHELER: Right.

GANT_LABORDE: They even have the system of people tagging it for them.

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CHRISTOPHER BUECHELER: You mentioned that, you know, Google's use of machine learning has grown exponentially over the past 10 years or so. Do you happen to know a few specific projects that they've applied it to?

GANT_LABORDE: One of the interesting ones, like, um, just go take a look at your Gmail right now. Right. You're going to typing an email and it's finishing your sentences for you. When you hit tab to complete that sentence. You best believe that you've just tagged that as, oh, an excellent suggestion, and that moves up the ranks. And if you type your own message, so Google's really done a great job of looking at this idea of federated learning and also being able to remove your information from the models. So that's a key part of it, is that your data doesn't go back. So if I trained a food classifier tomorrow on five gigabytes of images, the actual resulting model would not be five gigabytes plus. It would be like a distilled sort of realm of forms of what food is. So that's one of the things that's true is like, I don't think that they can come back and like take your text, you know, but I think that what they can do is train on whether or not they were getting accurate what the styles of text are. And then if you're updating weights and values for a model that's existing on your machine and sending that back. Yeah. I think that that's something they can absolutely use the ethics of machine learning are pretty wild and crazy place right now. What is your data versus what is something that they trained on your machine and sent back to themselves is unique, but I kind of want them to do that. I want them to keep me anonymous, but learn about that. Apple's doing a really good job with that they are keeping you super secure by updating the models directly on your machine. And so CoreML 3 has all these cool security features to sort of create like a very nice model but it gets better and more accustomed to your needs and your habits directly on your device. And this is like the next problem, right? I think take a look at the FaceApp with sending your stuff off to a server.

CHRISTOPHER BUECHELER: Right.

GANT_LABORDE: I think the next problem is edge devices for AI. And this is where JavaScript really comes in. Because sure, the cool stuff is in Python, and you're creating all these advanced things. But I don't think the data scientists really have a great way to gather that information and send it back and then aggregate the results to train a supermodel based off of all that stuff. As of right now, they probably, depending on people, actually send their actual data back. I think that the security and the privacy concerns really require a developer mindset.

CHRISTOPHER BUECHELER: That's a really interesting point. I think also the, you know, what you were saying about sort of the next steps. If you look at the virtual assistants that every phone has now, you've got, you know, Siri or whomever. And I would assume that the next step with those is to try to make them as personal as possible to try to get them to know you and know how you use your device and know what's interesting to you. That stuff is coming along. You got me thinking about other stuff that Google is assuredly using machine learning for like Google maps knows what I'm doing practically before I do a lot of the time because

GANT_LABORDE: it's what YouTube video to show you next knows where you're going. Yeah. Then the better they can do that, the better they can actually promote their ad. Like, I mean, ads drive them so much. So knowing you and knowing what you want is very important to Google. And very important to Amazon as well. What's really funny is I'll actually, my CEO at Infinite Red always has his speakers on and then he has an Echo in the background. So sorry everybody whose wake word is Echo, I apologize. But you're not gonna like this next part. But I'll say, Echo sent alarm for 3 a.m. And sure enough, me coming through with speakers, he's gonna have a bad morning. But I think that they're getting better at identifying who the owner's voice is and curtail into their accents and their particular way of saying things. And I'm looking forward to the day where I say, you know, echo, send alarm for 3 a.m. Sorry again, everybody out there. When that happens, it's going to basically just ignore me, you know,

CHRISTOPHER BUECHELER: and I think that's a no, that you're not the user.

GANT_LABORDE: And then, I mean, honestly, then product purchases through those kinds of devices are like, become more attainable, more secure, more viable.

CHRISTOPHER BUECHELER: Right. Voice commands in general, I think make a lot more sense if they can identify the voice. My wife is French and has an accent and periodically has to speak to her Google phone in a really bad American accent to try to get it to understand what she's saying because when she speaks using her normal accent, it gets confused at times. That kind of thing, I'm sure we're not that far off from a phone that can... If it doesn't come out of the box, able to understand a French accent can at least adapt and learn to understand a French accent over time.

GANT_LABORDE: Yeah. Authenticity is reaching superhuman levels in identifying things. So with deepfakes, people being able to look like whatever this. Funny enough, computers are amazing at identifying that that's a fake. They're actually really good at it. And as they kind of get beyond, and humans are amazing at vision. We are really good at vision. We usually are around like 99% accurate with just about everything. But when computers pass up humans, we'll have to depend on computers to tell what's real and what's not. And this is like a natural progression of like what's been going on like a long time to have an authentic document. It had a wax seal on it, and only the right people knew how to read anyway. So, like you knew it was real. You know, even if it's been carried by a, you know, a pigeon or a bunch of people for two weeks. Right. And we've gotten a new world now, but we're able to like sort of create these things that are superhuman in their, they're looking like their authenticity. So we kind of need at the same time our computers to tell us what is authentic and what isn't. And that's like an exciting but really scary future that's coming up for all of us.

CHRISTOPHER BUECHELER: That's a really interesting point that is something we've been dealing with for forever, the sort of security and authentication and trying to be sure of what you're seeing or reading or hearing. This is not a new issue. I think the deep fake stuff is scary to people because it's so visual and you can look and see you know, Bill Hader morphing into Tom Cruise as he's doing a Tom Cruise impression. And we're like, wow, that's really alarming. But I think our brains can sense the potential for all of the misuses there. But there's also an incredible number of really exciting uses that are happening.

GANT_LABORDE: Yeah. So Andrew Ng says that AI is new electricity and it's going to transform industry like electricity transform industry, where it'll go into a bunch of different it's going to cross cut all the different laterals and change everything. And I'll say that I think that that's very, very accurate. And what happens with this cool stuff depends who's doing it. That's why I want developers and job. I want to democratize it. I think there's quite a few of us out there that say, you know, with the AI revolution, we want to be a part of it. And I think it would be really cool for people to build awesome things like this because one of the limitations that we have is like, take a look at Star Wars where we're able to take a character who's been dead for a long time and then actually re-put them back into the show, like doing all things right, you know, making sure that they're okay with it, that the people have the rights, and it actually made the experience really awesome. So placing passed-away people into a movie with very, very nicely asking. I think they did the same kind of stuff in the Fast and I don't know what number they're on, like Fast and Furious 99.

CHRISTOPHER BUECHELER: Right. Oh, right with Paul Walker where he...

GANT_LABORDE: Yeah. They used his brother and some deep fake technology, I believe. So I think that this is like a great opportunity as long as it's done ethically. And then it's of course, every superpower can be used for super evil. At the same time, someone could be using this to control people. We saw a lot of that stuff too. So I think that's a call to action as well for a lot of developers out there. We tend to be one of the more worried about inclusion, worried about ethics, and worried about the implications of things. I see constantly on my Twitter people fighting for accessibility and diversity and all kinds of really cool stuff. So these are the people I want to have control over what AI is going to do.

CHRISTOPHER BUECHELER: I think that's a great point. And I think to speak back to your point about open source, we've found over the years that open-sourcing things actually makes them more secure, because you're more likely to have people identifying issues and that kind of thing. So I think that, you know, bringing this out into the development world, that's a good way to get more people looking at it and having more people looking at it is the best way to identify the issues.

GANT_LABORDE: Yeah, that's true. I mean, you know, you have the Kodak film scandals and all the other problems that just basically a lot of the settings that we've had are pretty racist. So one of the things that we're seeing now is like cool things like IBM released the diversity faces data set for free and it's for people training on faces to make sure that they have a huge, awesome, diverse facial data set.

CHRISTOPHER BUECHELER: Nice, they can use.

GANT_LABORDE: Which is very nice. Because No, a lot of people like us, if I'm going to train a paper rock scissors classifier for my webcam, it's going to be trained on my hands. Right? That's it. That's all I have. I don't even have the European way of they do scissors with the thumb out and everything like that. I don't do any of that. Right. So I think together we can actually build a more conscious data set.

CHRISTOPHER BUECHELER: That's awesome. That's really cool. You're actually a panelist on one of the sister shows, correct? The Adventures in Machine Learning.

GANT_LABORDE: Yeah. So that's about to get started. Well, we're recording it. Uh, hopefully when this comes out, it exists. I hope so.

CHRISTOPHER BUECHELER: I believe Chuck has already announced it. So I don't think I'm sort of, you know, pulling back the curtain on anything that isn't already known, but, uh, if so, feel free to edit this. Um, yeah. So, uh, that's, that's good to know. I'm going to proceed as if this is a known thing. We have a dev chat has a a adventures in machine learning podcast that is starting up. People are interested in that. They can definitely learn more. I think this is a super interesting topic. If the, is there anything that you think we should cover, particularly for newbies or beginners to this that we haven't talked about yet? Yeah, I would love to hear a little more about it.

GANT_LABORDE: I want to let people know that I've been working with people of all different skill sets that have been programming for any number of years. If you're interested in getting awesome at AI, like the limitation doesn't matter if you've got a degree or not, doesn't matter any of that stuff. It does matter how interested and how passionate you are about learning. That's the key thing. Cause it is a little bit of a jargon acrobatics, some new concepts. And if you're willing to like kind of put the pedal to the metal for at least about a month, you can come out of this with a excellent understanding.

CHRISTOPHER BUECHELER: Cool. And you've mentioned a couple of times, TensorFlow. I'm not actually familiar with TensorFlow. If you could explain a little bit about that, that'd be awesome.

GANT_LABORDE: Yeah, no problem. Quick heads up might help actually explain a little bit of the confusion of what's happened over a while. It's like, AI kind of was birthed late 40s, 50s, and people were playing tic-tac-toe against robots and cool stuff died. No one cared about AI or it was properly killed and then moved underground. I have no idea. Whatever. Enjoy your conspiracy theory. But this was called the AI winter. And for 60 or so years, nobody cared about AI anymore. It's just sort of this thing that the coolest AI you would have ran into is like Street Fighter can actually play with one-quarter in it. You can play against someone else that's not actually there. Outside of that and about 2012, AI started like kind of coming back and then being like really exciting. And so I started to get the ball rolling a little bit more. So you used to have to write all this junk from scratch and with it sort of blowing up again in 2012 and sort of doing this, you don't have to use a math lab and all these crazy octave and write stuff from scratch libraries started showing up, they started to help you with the insane math parts that came along. Vector math, matrix math, taking derivatives of functions and matrices, all these things were really a huge barrier and so frameworks showed up. And there's quite a few frameworks out there, Theano, PyTorch, and then Google released theirs, I think it was maybe 2017 or something like that. They released TensorFlow which helps you actually take care of your machine learning stuff at a higher level. It actually was originally, I think, written for Python, but for fast operations without you having to do any kind of calculus. I'd say the frameworks take away all the linear algebra and calculus, but you still won't understand it. Then they decided to say, like, let's take so you have TensorFlow Lite started going to mobile apps, and then you had TensorFlow.js, which started going to websites. You could actually have it running on the client's browser. And this is because you need to do some serious math to make these things happen. And it wraps all that math up for you. So you're actually just kind of like typing in and fiddling with these different controls and levers that identify how the machine should learn and then process these things, I think that frameworks made this whole thing way more attainable. And that's why we're seeing all these cool creations every week. So TensorFlow is Google's answer to that. PyTorch is usually, I think that came from Uber and Facebook working together. And so there are really cool tools out there. But I would say TensorFlow.js is obviously a great spot, because it's TensorFlow logic, but we get to do it in JavaScript. So that kind of just, I would say, Long answer long. Most recently hiding all the math and hiding all that stuff inside of our framework is what we want to do. Nobody wants to write vector multiplication and JavaScript.

CHRISTOPHER BUECHELER: Right. Yeah. People want to want to dive in and get started doing some of the cooler stuff.

GANT_LABORDE: Yes.

CHRISTOPHER BUECHELER: It sounds a little bit, it's sort of like a, you know, jQuery approach to machine learning of like get in and start building stuff immediately, and then you can proceed to learn as much as you want to learn from there, I'm sure.

GANT_LABORDE: Right, right, right. Yeah, you set these things. Now, the way it's kind of the terminology that it has is still a little bit archaic, but they really fix that up because this gentleman, Francois Chalet, a terrible French pronunciation for you, did this framework called Keras. Then he started working for Google because everybody loved Keras. And now TensorFlow is sort of taking on this Keras look and feel to it. So it's getting simpler and cleaner every day. Sort of like JavaScript's getting simpler and cleaner every day. Nice. If you take a look at how JavaScript was, and now it has all these really familiar and readable functions that are showing up, I see that same thing happening over in TensorFlow.

CHRISTOPHER BUECHELER: Yep. That's very cool. And you're actually putting together a course on TensorFlow, correct?

GANT_LABORDE: Yes. Yeah. So it'll be TensorFlow.js, which a lot of this will, if you decide to go into Python, a lot of this information will transfer over. But I'm sticking with the JavaScript people. I'm not playing over there. If you're interested and actually, you know nothing about machine learning and you want to kind of start writing it in your browser and start playing with it. So like we do everything as web devs, then you want to go and check this out. So it's going to be academy.infinite.red. And so that's the URL. We'll have that course up probably by the time this airs. And if it's near Black Friday Cyber Monday, we're gonna have a sale at that time as well.

CHRISTOPHER BUECHELER: Awesome. Well, that's very cool. And something I might actually check out in the very limited time I have for experimenting at the moment. I think that's a great introduction. I think, you know, it's a very cool subject and I'm really interested to see where people take it over the next few years. Where can we find other than academy.infinite.red, where can we find you and your work on the web?

GANT_LABORDE: Yeah, so I have a website, ganttlabord.com. I love going around and speaking. I've spoken at a lot of React Native conferences, speak at React conferences, and a lot of JavaScript places as well. So I will be traveling around in 2020 and probably speaking at quite a few conferences. You can check out there at ganttlabord.com and see which ones. I'll be talking my head off about TensorFlow.js and all the cool stuff that I plan on building. I have a list of 11 things. And I've knocked out two of them. So I have a lot of things I want to build.

CHRISTOPHER BUECHELER: Nice. Very cool.

One of my favorite communities in programming these days is the Angular community.Every time I go to an Angular conference or meet up with some of my friends who are in the Angular community, I have a great time. And a lot of them have wound up on Adventures in Angular. So if you're doing front-end development, you're looking for a way to keep current on the Angular ecosystem, and you want to have a good time listening to fun people talk about great topics related to Angular, then go check out Adventures in Angular at AdventuresInAngular.com.

CHRISTOPHER BUECHELER: I think I'm going to move us on to picks. So there's just the two of us today. It should be probably relatively quick. Why don't we go ahead and start with Gantt? What are your picks for this week?

GANT_LABORDE: I'll start off with something ridiculous. We'll go with, I have a website that I did in TensorFlow.js called nickornot.com. Sort of as a fun adventure, I've made a React Native app and a website that can identify and find Nicholas Cage. This is for you to use if you have the Declaration of Independence at any time. I also made declarationofindependencyf.com, which hosts the models. If you happen to find yourself being harassed by Nicolas Cage, which who hasn't? This is a website for identifying and sort of getting, identifying them in photos and finding them in person. The second thing I'll say as a pick is that at academy.infant.red, we are going to do a free five-day mini-course. That's going to probably be up next week. So that'll definitely be there by the time this airs. And that five-day mini-course is like a hundred percent free. And it's like the anti-jargon course. Like you take the course for free and then it's going to help tell you what all the different terminology people are throwing out. So you can use that to either understand AI. Or to get VC funded. I'm not sure which one.

CHRISTOPHER BUECHELER: Right from the course to your PowerPoint decks.

GANT_LABORDE: Yes.

CHRISTOPHER BUECHELER: Excellent. Cool. My picks this week, I have tech one and I've got a non-tech one. So my tech pick this week is probably very familiar to a decent number of people listening. Uh, it's next JS, which is a, uh, react platform. If you want to get up and running and start working immediately building pages and building components and not have to deal with getting your whole webpack environment set up and all that stuff. Next.js is really, really cool. It does server-side rendering right out of the box, tons of stuff. And they just recently released version 9, which I actually need to upgrade to on one of my projects. I haven't touched it yet, but it's got a whole bunch of new great stuff, including API routes, which I was reading about the other day and seem really very cool. You basically are building an API the same way you build pages, which is super easy and intuitive. My other pick is a music pick, which I've been doing a lot of lately, but there's a band called Big Rec. Most of their members are actually Canadian, but they're based in Toronto, I think, but they do a lot of US touring. I've been a fan of them since the mid-90s and their new album that came out a few weeks ago called close to two decades. Just really great kind of Led Zeppelin-y rock and roll. So if that's your thing, if you like lots of guitars and lots of booming drums, definitely check out Big Wreck and check out their new album, but for the sun. And those are my picks for this week. Anything else?

GANT_LABORDE: No, I'm good.

CHRISTOPHER BUECHELER: Well, I think we're good. And you know, again, if you're interested in more machine learning stuff, definitely check out Adventures in Machine Learning when it debuts. Thanks very much, Gant.

GANT_LABORDE: Thank you.

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JavaScript Jabber 129 JSJ BaaS with Ryan Done
JavaScript Jabber JSJ 425: The Evolution of JavaScript
JavaScript Jabber 132 JSJ MV Frameworks with Craig McKeachie
JavaScript Jabber Sentry's Impact on Web Vitals Understanding - JSJ 632
JavaScript Jabber 137 JSJ &yet with Henrik Joreteg and Phil Roberts
JavaScript Jabber 086 JSJ Ember.js & Discourse with Robin Ward
JavaScript Jabber Beyond JavaScript: Master TypeScript at Scale at SquiggleConf - JSJ 646
JavaScript Jabber Web3 with Nik Kalyani - JSJ 630
JavaScript Jabber Mastering Browser Caching with Vitali Zaidman - JSJ 490
JavaScript Jabber JSJ 256 Wordpress and Wordpress API for JavaScript Developers with Roy Sivan
JavaScript Jabber JSJ 428: The Alphabet Soup of Performance Measurements
JavaScript Jabber 164 JSJ Rendr with Spike Brehm
JavaScript Jabber 155 JSJ Webtorrent with Feross Aboukhadijeh
JavaScript Jabber 024 JSJ Strata.js with Michael Jackson
JavaScript Jabber 160 JSJ Stormpath with Robert Damphousse
JavaScript Jabber 159 JSJ Why JavaScript Is Hard
JavaScript Jabber 158 JSJ Roots with Jeff Escalante
JavaScript Jabber Preventing Fraud on Your Payment Website - JSJ 534
JavaScript Jabber Data Wrangling in JavaScript with Ashley Davis - JSJ 484
JavaScript Jabber 171 JSJ Babel with Sebastian McKenzie
JavaScript Jabber JSJ 431: Personal Branding for Developers with Morad Stern
JavaScript Jabber JSJ 255 Docker for Developers with Derick Bailey
JavaScript Jabber JSJ 389: What Makes a 10x Engineer?
JavaScript Jabber JSJ 254 Contributor Days with Tracy Lee
JavaScript Jabber 207 JSJ Growing Happy Developers with Marcus Blankenship
JavaScript Jabber JSJ Special Episode: Azure with Jonathan Carter
JavaScript Jabber Splatty-doo and Other JavaScript Features You Should Avoid - JSJ 543
JavaScript Jabber JSJ 252 The 20th Anniversary of Visual Studio with Bowden Kelly
JavaScript Jabber 142 JSJ Share.js with Joseph Gentle
JavaScript Jabber Becoming the Go-To Person in Your Technology Area - BONUS
JavaScript Jabber 190 JSJ Web Performance Part 2 with Nik Molnar
JavaScript Jabber 045 JSJ jQuery
JavaScript Jabber JSJ 251 InfoSec for Web Developers with Kim Carter
JavaScript Jabber JSJ 384: FaunaDB: Support for GraphQL and Serverless Development with Evan Weaver
JavaScript Jabber 222 JSJ Nodal with Keith Horwood
JavaScript Jabber JSJ 449: The Things Every JavaScript Developer Must Know
JavaScript Jabber JSJ 249 Loading and Optimizing Web Applications with Sam Saccone and Jeff Cross
JavaScript Jabber JSJ 246 GraphQL and Apollo with Uri Goldshtein
JavaScript Jabber 128 JSJ Famo.us with Steve Newcomb
JavaScript Jabber Typing Without Transpilation - The Beauty of JSDoc - JSJ 489
JavaScript Jabber 244 JSJ Visual Studio with Sam Guckenheimer
JavaScript Jabber 125 JSJ WebGL with Sean Griffin
JavaScript Jabber Can JAMstack do REAL Web Apps? with James Q Quick - JSJ 517
JavaScript Jabber 036 JSJ DOM Rendering and Manipulating
JavaScript Jabber 112 JSJ Refactoring JavaScript Apps Into a Framework with Brandon Hays
JavaScript Jabber JSJ 250 Celebration
JavaScript Jabber 227 JSJ Fostering Community Through React with Benjamin Dunphy, Berkeley Martinez, and Ian Sinnott
JavaScript Jabber JSJ 304: React: The Big Picture
JavaScript Jabber 243 JSJ Immutable.js with Lee Byron
JavaScript Jabber JSJ 401: Hasura with Tanmai Gopal
JavaScript Jabber JSJ 345: Azure Devops with Donovan Brown LIVE at Microsoft Ignite
JavaScript Jabber 242 JSJ Visual Studio and .NET with Maria Naggaga
JavaScript Jabber 066 JSJ Transitioning to JavaScript
JavaScript Jabber 235 JSJ JavaScript Devops and Tools with Donovan Brown and Jordan Matthiesen
JavaScript Jabber 234 JSJ JAMStack with Brian Douglas and Matt Christensen
JavaScript Jabber RPC Resurgence: From Client-Server Applications to Next.js and Meta Frameworks - JSJ 607
JavaScript Jabber JSJ 478: Browser Standards Rampage: Can We Have Nice Things?
JavaScript Jabber 241 JSJ Microsoft Docs with Dan Fernandez
JavaScript Jabber The MaxCoders Guide To Finding Your Dream Developer Job
JavaScript Jabber 240 JSJ Visual Studio Code with Chris Dias
JavaScript Jabber TC39 and Upcoming Proposals for ECMAScript (PART 2) - JSJ 533
JavaScript Jabber A Deep Dive Into Some Nooks and Crannies of JavaScript - JSJ 535
JavaScript Jabber 239 JSJ Vets Who Code with Jerome Hardaway
JavaScript Jabber JSJ BONUS: Web Apps on Linux with Jeremy Likness and Michael Crump
JavaScript Jabber 230 JSJ Node at Capital One with Azat Mardan
JavaScript Jabber Writing Change-Proof Software with Tests - JSJ 555
JavaScript Jabber Data Oriented Programming with Yehonathan Sharvit - JSJ 481
JavaScript Jabber Building a Custom Front-end Framework - JSJ 633
JavaScript Jabber 229 JSJ Elm with Richard Feldman
JavaScript Jabber Creating Your Community with Brett Haralson - JAVASCRIPT 515
JavaScript Jabber 225 JSJ Functional Programming with John A. De Goes
JavaScript Jabber 206 JSJ PostCSS with Ben Briggs
JavaScript Jabber JSJ 471: Things Every JavaScript Developer Must Know - Part 3
JavaScript Jabber 224 JSJ Cypress.js with Brian Mann
JavaScript Jabber Power Tips for Browser Dev-Tools with Craig Buckler - JSJ 492
JavaScript Jabber 219 JSJ Learning JavaScript in 2016
JavaScript Jabber JSJ 334: “Web Performance API” with Dan Shappir
JavaScript Jabber JSJ 476: Understanding Search Engines and SEO (for devs) - Part 1
JavaScript Jabber 215 JSJ ChakraCode with Guarav Seth Live from Microsoft Build 2016
JavaScript Jabber 214 JSJ Pebble with Heiko Behrens and François Baldassari
JavaScript Jabber 089 JSJ The Node Security Project with Adam Baldwin
JavaScript Jabber BONUS: How to Crush Your Biggest Goals in 2021
JavaScript Jabber 210 JSJ The 80/20 Guide to ES2015 Generators with Valeri Karpov
JavaScript Jabber 192 JSJ IoT with Peter Hoddie
JavaScript Jabber 199 JSJ Visual Studio Code with Chris Dias and Erich Gamma
JavaScript Jabber 204 JSJ Free Code Camp with Quincy Larson
JavaScript Jabber JSJ 312: Hygen with Dotan Nahum
JavaScript Jabber 203 JSJ Aurelia with Rob Eisenberg
JavaScript Jabber 202 JSJ DoneJS + CanJS with Justin Meyer
JavaScript Jabber 111 JSJ The Ember.js Project with Erik Bryn
JavaScript Jabber 201 JSJ Security with Troy Hunt
JavaScript Jabber Unveiling Chrome DevTools: Network Monitoring, Cache Debugging, and Beyond - JSJ 623
JavaScript Jabber 198 JSJ 2015 Recap and 2016 Predictions
JavaScript Jabber Embracing Angular's Evolution with Santosh Yadav - JSJ 631
JavaScript Jabber JSJ BONUS EPISODE: Observables and RxJS Live with Aaron Frost
JavaScript Jabber JSJ 319: Winamp2-js with Jordan Eldredge
JavaScript Jabber Bun.js with Jarred Sumner - JSJ 584
JavaScript Jabber Practical Strategies for Web Optimization: Using Chrome DevTools - JSJ 635
JavaScript Jabber 195 JSJ Rollup.js with Rich Harris and Oskar Segersvärd
JavaScript Jabber Stories From The Trenches - JSJ 556
JavaScript Jabber An Unconventional Journey into Coding ft. Sam Sycamore - JSJ 496
JavaScript Jabber 193 JSJ Electron with Jessica Lord and Amy Palamountain
JavaScript Jabber JSJ 290: Open Source Software with Dirk Hohndel - VMWare Chief Open Source Officer
JavaScript Jabber 191 JSJ Stripe with Craig McKeachie
JavaScript Jabber 179 JSJ redux and React with Dan Abramov
JavaScript Jabber OAuth Explained - JSJ 523
JavaScript Jabber Front End Architecture - JSJ 522
JavaScript Jabber 186 JSJ NativeScript with TJ VanToll and Burke Holland
JavaScript Jabber Hydrogen and Oxygen - JSJ 539
JavaScript Jabber 183 JSJ Should I go to college?
JavaScript Jabber 228 JSJ React Native with Nader Dabit and Mike Grabowski
JavaScript Jabber Building and Distributing PWAs: Tools, Techniques, and Insights - JSJ 638
JavaScript Jabber 182 JSJ RxJS with Matthew Podwysocki
JavaScript Jabber 181 JSJ The Evolution of Flux Libraries with Andrew Clark and Dan Abramov
JavaScript Jabber Do You Have Dev FOMO? ft. Yoav Ganbar - JSJ 510
JavaScript Jabber 178 JSJ Tech Education and The Business of Running Front End Masters with Marc Grabanski
JavaScript Jabber 177 JSJ UI Validation with Oren Rubin
JavaScript Jabber 175 JSJ Elm with Evan Czaplicki and Richard Feldman
JavaScript Jabber JSJ 469: The Case for JavaScript Iterators and Generators, part 2
JavaScript Jabber 174 JSJ npm 3 with Rebecca Turner and Forrest Norvell
JavaScript Jabber 188 JSJ JavaScript Code Smells with Elijah Manor
JavaScript Jabber 232 JSJ GunDB and Databases with Mark Nadal
JavaScript Jabber 172 JSJ NodeSchool with Jason Rhodes
JavaScript Jabber High-Performance Networking: Key Resources and Tools for Web Developers - JSJ 637
JavaScript Jabber 168 JSJ The Future of JavaScript with Jafar Husain
JavaScript Jabber JSJ 268 Building Microsoft Office Extensions with JavaScript with Tristan Davis and Sean Laberee
JavaScript Jabber JSJ 306: The Framework Summit with Joe Eames
JavaScript Jabber 167 JSJ TypeScript and Angular with Jonathan Turner and Alex Eagle
JavaScript Jabber 014 JSJ SVG and Data Visualization with Chris Bannon
JavaScript Jabber TC39 and Upcoming Proposals for ECMAScript (PART 1) - JSJ 532
JavaScript Jabber JSJ 477: Understanding Search Engines and SEO (for devs) - Part 2
JavaScript Jabber 166 JSJ New Relic with Wraithan and Ben Weintraub
JavaScript Jabber JSJ 316: Visual Studio Code with Rachel MacFarlane and Matt Bierner LIVE at Microsoft Build
JavaScript Jabber 038 JSJ Jasmine with Justin Searls
JavaScript Jabber BONUS: Relationships Matter Most
JavaScript Jabber 047 JSJ Specialized vs Monolithic with James Halliday and Tom Dale
JavaScript Jabber 042 JSJ CSS and CSS Superset Languages
JavaScript Jabber 184 JSJ Web Performance with Nik Molnar
JavaScript Jabber 163 JSJ Flow with Jeff Morrison and Avik Chaudhuri
JavaScript Jabber 176 JSJ RethinkDB with Slava Akhmechet
JavaScript Jabber 153 JSJ Careers for Junior Developers with Aimee Knight
JavaScript Jabber JSJ 322: Building SharePoint Extensions with JavaScript with Vesa Juvonen LIVE at Microsoft Build
JavaScript Jabber 157 Moving Your Rendering Engine to React with Amit Kaufman and Avi Marcus
JavaScript Jabber 154 JSJ Raygun.io Error Reporting and Workflow with John-Daniel Trask
JavaScript Jabber JSJ 427: How to Start a Side Hustle as a Programmer with Mani Vaya
JavaScript Jabber 152 JSJ GraphQL and Relay with Nick Schrock and Joe Savona
JavaScript Jabber MeteorJS ft. Filipe Névola - JSJ 506
JavaScript Jabber 150 JSJ OIMs with Richard Kennard, Geraint Luff, and David Luecke
JavaScript Jabber How to Check Your Application Security featuring Liran Tal - JSJ 493
JavaScript Jabber 148 JSJ i.cx and EveryBit.js with Matt Asher and Dann Toliver
JavaScript Jabber JSJ 386: Gatsby.js with Chris Biscardi
JavaScript Jabber WebAuthn With Dan Moore - JSJ 562
JavaScript Jabber JSJ 327: "Greenlock and LetsEncrypt" with AJ O'Neal
JavaScript Jabber JSJ 406: Security in Node
JavaScript Jabber What's New with Elm? ft. Lindsay Wardell - JSJ 527
JavaScript Jabber 147 JSJ io.js with Isaac Schleuter and Mikeal Rogers
JavaScript Jabber Where is JAMstack and Dev Tooling Headed Today? - Putting JetPacks on Developers ft. Tejas Kumar - JSJ 514
JavaScript Jabber 146 JSJ React with Christopher Chedeau and Jordan Walke
JavaScript Jabber BONUS: Measuring Apps and Entrepreneurship with John-Daniel Trask
JavaScript Jabber JSJ 462: The Ultimate Guide to JavaScript Testing with Lucas da Costa
JavaScript Jabber Wix Velo with Yoav Abrahami - JSJ 558
JavaScript Jabber 144 JSJ Marionette.js 2.0 with Sam Saccone
JavaScript Jabber JSJ 340: JavaScript Docker with Julian Fahrer
JavaScript Jabber 143 JSJ Teaching Programming and Computer Science with Pamela Fox
JavaScript Jabber 141 JSJ Firefox OS with Jason Weathersby
JavaScript Jabber JSJ 267 Node 8 with Mikeal Rogers, Arunesh Chandra, and Anna Henningsen
JavaScript Jabber 140 JSJ Using Art to Get and Keep People Interested in Programming with Jenn Schiffer
JavaScript Jabber JSJ 350: JavaScript Jabber Celebrates Episode 350!
JavaScript Jabber 139 JSJ The Mozilla Developer Network with Les Orchard and David Walsh
JavaScript Jabber Episode 500 Celebration! - JSJ 500
JavaScript Jabber JSJ 352: Caffeinated Style Sheets: Supporting High Level CSS with JavaScript with Tommy Hodgins
JavaScript Jabber 106 JSJ Protractor with Julie Ralph
JavaScript Jabber 138 JSJ {Track:js} with Todd Gardner
JavaScript Jabber 135 JSJ Smallest Federated Wiki with Ward Cunningham
JavaScript Jabber Navigating Online Events and Conferences - JSJ 541
JavaScript Jabber 127 JSJ Changes in npm-Land with Forrest Norvell, Rebecca Turner, Ben Coe, and Isaac Z. Schlueter
JavaScript Jabber 126 JSJ The Ionic Framework with Max Lynch and Tyler Renelle
JavaScript Jabber 124 JSJ The Origin of Javascript with Brendan Eich
JavaScript Jabber 133 JSJ Remote Work with Mike Hostetler
JavaScript Jabber Supply Chain Security - Part 2 - JSJ 525
JavaScript Jabber 123 JSJ Traceur with Erik Arvidsson
JavaScript Jabber JSJ 380: Expo for Web with Charlie Cheever
JavaScript Jabber Personal Branding for Developers with Morad Stern - JSJ 642
JavaScript Jabber JSJ 253 Gomix with Daniel X Moore
JavaScript Jabber 120 JSJ Google Polymer with Rob Dodson and Eric Bidelman
JavaScript Jabber Unveiling Qwik and JavaScript Streamlining Web Development with Shai Reznik - JSJ 628
JavaScript Jabber 069 JSJ The Application Cache with Jake Archibald
JavaScript Jabber JSJ 276: Vue.js with Maximilian Schwarzmüller
JavaScript Jabber 115 JSJ The ES6 Module Loader Polyfill, SystemJS, and jspm with Guy Bedford
JavaScript Jabber Supply Chain Security - Part 1 - JSJ 524
JavaScript Jabber 110 JSJ Zones with Brian Ford
JavaScript Jabber 104 JSJ Hypermedia APIs with Steve Klabnik
JavaScript Jabber 103 JSJ Robots with Raquel Vélez
JavaScript Jabber JSJ 376: Trix: A Rich Text Editor for Everyday Writing with Javan Makhmali
JavaScript Jabber 136 JSJ TrackingJS with Eduardo Lundgren
JavaScript Jabber 116 JSJ jQuery UI vs KendoUI with Burke Holland and TJ VanToll
JavaScript Jabber 052 JSJ Node & NPM with Isaac Schlueter
JavaScript Jabber 099 JSJ npm, Inc. with Isaac Schlueter, Laurie Voss, and Rod Boothby
JavaScript Jabber 098 JSJ Assemble.io with Brian Woodward and Jon Schlinkert
JavaScript Jabber 097 JSJ Gulp.js with Eric Schoffstall
JavaScript Jabber 095 JSJ AngularUI with Dean Sofer
JavaScript Jabber 118 JSJ Web Developer Skills
JavaScript Jabber 093 JSJ The New York Times and JavaScript with Eitan Konigsburg, Alastair Coote and Reed Emmons
JavaScript Jabber 091 JSJ JSON APIs
JavaScript Jabber 090 JSJ Users Groups
JavaScript Jabber JSJ 382: Mental Health with Anatoliy Zaslavskiy
JavaScript Jabber Changes in the JAMstack Landscape with Sean C Davis - JSJ 482
JavaScript Jabber 088 JSJ Lazy.js with Daniel Tao
JavaScript Jabber 087 JSJ TC39 with Alex Russell
JavaScript Jabber 030 JSJ Learning & Teaching JavaScript with Noel Rappin
JavaScript Jabber Structuring Node.js Applications: Event Loop, Metrics, and Efficient Processing Techniques - JSJ 657
JavaScript Jabber The Story of Mel with Tomer Lichtash and David Frankiel - JSJ 544
JavaScript Jabber Upcoming Performance Metrics for the Web - JSJ 542
JavaScript Jabber 083 JSJ FRP and RxJS with Matthew Podwysocki
JavaScript Jabber 081 JSJ Promises for Testing Async JavaScript with Pete Hodgson
JavaScript Jabber SolidJS with Ryan Carniato - JSJ 528
JavaScript Jabber JSJ 354: Elm with Richard Feldman
JavaScript Jabber 077 JSJ Monocle with Alex MacCaw
JavaScript Jabber JSJ 447: Using Javascript for Data Analysis and Data Science with Daniel Lathrop
JavaScript Jabber BONUS: Adding a Content Engine to Your App with a Headless CMS with Jake Lumetta
JavaScript Jabber 075 JSJ Maintainable JavaScript with Nicholas Zakas
JavaScript Jabber 016 JSJ SQL and NoSQL
JavaScript Jabber 071 JSJ JavaScript Strategies at Microsoft with Scott Hanselman
JavaScript Jabber JSJ 281: CodeSponsor - Sustaining Open-Source Software through Ethical Advertising with Eric Berry
JavaScript Jabber Interactive Coding Tutorials with Tomek Salkowski: Enhancing Developer Experiences - JSJ 651
JavaScript Jabber JSJ 287: Blockchain and JS with Ari Lerner
JavaScript Jabber 068 JSJ ES6 with Aaron Frost
JavaScript Jabber 001 JSJ Asynchronous Programming
JavaScript Jabber Slaughtering Sacred Cows: Reconsidering Software Dev Truisms - JSJ 653
JavaScript Jabber 063 JSJ Burnout
JavaScript Jabber 062 JSJ Dojo with Dylan Schiemann
JavaScript Jabber 149 JSJ Passenger Enterprise with Node.js with Hongli Lai and Tinco Andringa
JavaScript Jabber What Is Functional Programming and What It's Not With Lane Wagner- JSJ 557
JavaScript Jabber 060 JSJ Development Environments
JavaScript Jabber Using Storybook and Nuxt To Quickly Build Websites - JSJ 531
JavaScript Jabber 059 JSJ jQuery Mobile with Todd Parker
JavaScript Jabber 057 JSJ Functional Programming with Zach Kessin
JavaScript Jabber 056 JSJ Marionette.js with Derick Bailey
JavaScript Jabber 082 JSJ JSHint with Anton Kovalyov
JavaScript Jabber Builder.io and Qwik - JSJ 540
JavaScript Jabber JSJ 356: Build Websites Like It's 2005 with Keith Cirkel
JavaScript Jabber JSJ 458: Codota Tabnine and the Rise of Ai-powered Developer Tooling with Kyle Simpson
JavaScript Jabber 212 JSJ Horizon.js with Horizon.js with Michael Glukhovsky: Live from ng-conf!
JavaScript Jabber How to Get Hired at a FANG Company - BONUS
JavaScript Jabber Opinionated Core Web Vitals - JSJ 647
JavaScript Jabber 055 JSJ Web Developer Skills
JavaScript Jabber Deep Dive into Metrics and Monitoring with Prometheus and Grafana - JSJ 645
JavaScript Jabber Monitoring Performance and Core Web Vitals ft. Bianca Grizhar and Sumitra Manga - JSJ 501
JavaScript Jabber 053 JSJ Software Team Dynamics
JavaScript Jabber Flutter Essentials ft. Allen Wyma - JSJ 494
JavaScript Jabber 145 JSJ Meteor.js with Matt DeBergalis
JavaScript Jabber Adapting to Effect Cluster: JavaScript Developers' Guide to Enhancing Code Maintainability - JSJ 639
JavaScript Jabber 051 JSJ Finding a Job
JavaScript Jabber 049 JSJ MooTools with Valerio Proietti and Arian Stolwijk
JavaScript Jabber 044 JSJ Book Club: Effective JavaScript with David Herman
JavaScript Jabber Framework Comparisons, Real User Metrics, and Effective Performance Tools - JSJ 640
JavaScript Jabber State Management ft. Assaf Krintza - JSJ 508
JavaScript Jabber 040 JSJ Conferences
JavaScript Jabber JSJ 282: Trails.js with Scott Wyatt
JavaScript Jabber 039 JSJ Sweet.js with Tim Disney
JavaScript Jabber JSJ 360: Evolutionary Design with James Shore
JavaScript Jabber JSJ 264 Mendel with Irae Carvalho
JavaScript Jabber 037 JSJ Promises with Domenic Denicola and Kris Kowal
JavaScript Jabber 015 JSJ Open Discussion
JavaScript Jabber 013 JSJ Knockout.js with Steven Sanderson
JavaScript Jabber 067 JSJ Testem with Toby Ho
JavaScript Jabber 035 JSJ node-webkit
JavaScript Jabber 033 JSJ enyo.js
JavaScript Jabber 032 JSJ Angular.js
JavaScript Jabber JSJ 262 Mozilla Firefox Developer Tools with Jason Laster
JavaScript Jabber Crafting Code and Community: AI, LeetCode, and Meetups - JSJ 644
JavaScript Jabber JSJ 365: Do You Need a Front-End Framework?
JavaScript Jabber 029 JSJ Bower.js with Alex MacCaw and Jacob Thornton
JavaScript Jabber 028 JSJ Greenfield vs Brownfield Projects
JavaScript Jabber 027 JSJ The JavaScript Community
JavaScript Jabber How to Become a Senior Developer with Shem Magnezi - JSJ 521
JavaScript Jabber Web3 with Nik Kalyani - JSJ 520
JavaScript Jabber 023 JSJ Phantom.js with Ariya Hidayat
JavaScript Jabber 022 JSJ Node.js on Azure with Glenn Block
JavaScript Jabber 096 JSJ The Challenges of Large Single Page JavaScript Applications with Bart Wood
JavaScript Jabber 017 JSJ CoffeeScript with Jeremy Ashkenas
JavaScript Jabber 011 JSJ Can HTML5 and JavaScript Really Replace Flash?
JavaScript Jabber JSJ 426: Killing the Release Night with Progressive Delivery with Dave Karow
JavaScript Jabber 009 JSJ Testing JavaScript with Joe Eames
JavaScript Jabber HTMX and InterCooler ft. Carson Gross - JSJ 513
JavaScript Jabber Transforming React Development: The Experimental Compiler’s Approach to Memoization and Performance - JSJ 636
JavaScript Jabber Catching Up on InertiaJS with Jonathan Reinink - JSJ 511
JavaScript Jabber Software Development as a Craft with Netta Bondy - JSJ 551
JavaScript Jabber 008 JSJ V8 and Dart with Lars Bak and Kasper Lund
JavaScript Jabber Core Web Vitals and Whatnot - JSJ 537
JavaScript Jabber D3 and Data Visualization ft. Ian Johnson - JSJ 507
JavaScript Jabber JSJ 337: Microstates.js – Composable State Primitives for JavaScript with Charles Lowell & Taras Mankovski
JavaScript Jabber Creeds of Craftsmanship - JSJ 505
JavaScript Jabber JSJ 404: Edge on Chromium with Chris Heilmann
JavaScript Jabber Navigating Web Development Challenges - JSJ 624
JavaScript Jabber JSJ 411: Unit Testing Jest with Daniel Caldas
JavaScript Jabber 3 Fundamental Pillars You Need to Succeed as an Entrepreneur - BONUS
JavaScript Jabber Javascript and the Blockchain with Max Kordek - JSJ 503
JavaScript Jabber Alpinejs, Microservices, Code Completion, and Getting Paid for Open Source with Caleb Porzio - JSJ 497
JavaScript Jabber Opinionated Core Web Vitals - JSJ 495
JavaScript Jabber Virtual DOM and the React Way, Part 1 - JSJ 512
JavaScript Jabber The New JAMstack with Brian Rinaldi - JSJ 491
JavaScript Jabber Web Performance and the Google WordPress Team with Felix Arntz - JSJ 548
JavaScript Jabber The React Way & Opinionated Practices with Ian Schwartz - JSJ 488
JavaScript Jabber CrUX and Core Web Vitals - What to Measure on the Web with Rick Viscomi - JSJ 486
JavaScript Jabber JSJ 440: Why Serverless with Gareth McCumskey
JavaScript Jabber 054 JSJ JavaScript Parsing, ASTs, and Language Grammar w/ David Herman and Ariya Hidayat
JavaScript Jabber Gal Schlezinger and Edge Functions - JSJ 536
JavaScript Jabber JSJ 408: Reading Source Code with Carl Mungazi
JavaScript Jabber 162 JSJ ESLint with Jamund Ferguson
JavaScript Jabber 187 JSJ Vue.js with Evan You
JavaScript Jabber 156 JSJ Soft Skills and Marketing Yourself as a Software Developer with John Sonmez
JavaScript Jabber SEO for Developers ft. Mordy Oberstein - JSJ 509
JavaScript Jabber 058 JSJ Building Accessible Websites with Brian Hogan
JavaScript Jabber JSJ 247 Building a Development Environment with Cory House
JavaScript Jabber 085 JSJ Huxley with Pete Hunt
JavaScript Jabber 078 Working From Home
JavaScript Jabber 050 JSJ QUnit with Jörn Zaefferer
JavaScript Jabber JSJ 423: State of JS
JavaScript Jabber 130 JSJ Browser Tools and Extensions
JavaScript Jabber Find Out More About Elliot Johnson - BONUS
JavaScript Jabber JSJ 418: Security Scary Stories and How to Avoid Them with Kevin A McGrail
JavaScript Jabber Getting to Know Bruce A. Tate - BONUS
JavaScript Jabber Everything Remult with Noam Honig and Yoni Rapoport - JSJ 579
JavaScript Jabber Jason Weimann - Learn Video Game Development with Chuck - BONUS
JavaScript Jabber TanStack Router with Tanner Linsley - JSJ 578
JavaScript Jabber How Do You Stop Hating Your Job? - BONUS
JavaScript Jabber Reverse Engineering with Joyce Lin - JSJ 577
JavaScript Jabber JSJ 480: Are Micro Frontends worth the effort? (And if so when?)
JavaScript Jabber BONUS: How Opportunities Come Your Way When You're an Influencer
JavaScript Jabber Signals: What You Should Know with Tejas Kumar - JSJ 576
JavaScript Jabber The Best of JavaScript and Ruby in 2023 - JSJ 575
JavaScript Jabber JSJ 479: Practical Microservices with Ethan Garofolo
JavaScript Jabber JSJ 299: How To Learn JavaScript When You're Not a Developer with Chris Ferdinandi
JavaScript Jabber BONUS: What is Charles Max Wood's Biggest Payoff for Being a Dev Influencer?
JavaScript Jabber Functional Programming with Ian Schwartz - JSJ 574
JavaScript Jabber What To Expect For JSNation - BONUS
JavaScript Jabber Introducing Codux With Nadav Abrahami & Tom Raviv - JSJ 573
JavaScript Jabber Build Your Game Using JavaScript with Andrzej Mazur- JSJ 572
JavaScript Jabber JSJ 392: The Murky Past and Misty Future of JavaScript with Douglas Crockford
JavaScript Jabber The State of JS Frameworks with Ryan Carniato: Part 2 - JSJ 571
JavaScript Jabber 114 JSJ Asynchronous UI and Non-Blocking Interactions with Elliott Kember
JavaScript Jabber 117 JSJ The Koa Framework with Gerred Dillon and Will Conant
JavaScript Jabber The State of JS Frameworks with Ryan Carniato: Part 1 - JSJ 570
JavaScript Jabber Web Performance With Alex Russell - JSJ 569
JavaScript Jabber 113 JSJ Community Dynamics with Reginald Braithwaite
JavaScript Jabber React Native & Every-Platform Embeddable UI With Taz Singh - JSJ 568
JavaScript Jabber BONUS: How Jason Weimann Became a Game Developer
JavaScript Jabber JSJ 452: Caddy 2 Web Server with Matthew Holt
JavaScript Jabber JSJ 475: DevOps for the JavaScript Developer
JavaScript Jabber JSJ 473: The Elements framework with Chris Mather
JavaScript Jabber Providing The Best User Experiences on the Web With Vercel- BONUS
JavaScript Jabber Front-End Hydration - JSJ 567
JavaScript Jabber JSJ 472: RedwoodJS Brings Full-Stack to the JAMstack with Anthony Campolo
JavaScript Jabber 002 JSJ The Right Way to Build Web Applications
JavaScript Jabber Marvels Of Using Svelte and SvelteKit - JSJ 566
JavaScript Jabber JSJ 470: Fine Tuning Your Psychological Stack, or DevOps For Your Brain
JavaScript Jabber Runtime Security With Gal Weizman - JSJ 565
JavaScript Jabber JSJ 468: The case for JavaScript iterators, part 1
JavaScript Jabber JSJ 460: The Things Every JavaScript Developer Must Know, Part 2
JavaScript Jabber JSJ 454: Mongoose, Mongo and Object Document Mapping (ODM) with Valeri Karpov
JavaScript Jabber 180 JSJ Finding a Job
JavaScript Jabber How To Plan For Success In 2023 - JSJ 564
JavaScript Jabber Qwik Part II With Misko Hevery - JSJ 563
JavaScript Jabber BONUS: How to do LARGE Volumes of HIGH Quality Work - While Spending Fewer Hours Working
JavaScript Jabber JSJ 459: Codota Tabnine and the Rise of Ai-powered Developer Tooling with Kyle Simpson PT 2
JavaScript Jabber 213 JSJ Developer Evangelism with Greg Baugues
JavaScript Jabber Blockchain with Max Kordek - JSJ 529
JavaScript Jabber JSJ 399: Debugging with Async/Await with Valeri Karpov
JavaScript Jabber JSJ 457: Career Transitioning with Laura Harvey
JavaScript Jabber JSJ 456: Developer-First Security and Security Tooling For Developers with Liran Tal & Brian Vermeer
JavaScript Jabber JSJ 455: Introducing and Understanding Svelte and Sapper with Mark Volkmann
JavaScript Jabber JSJ 453: Debugging Third Party JavaScript with Ben Vinegar
JavaScript Jabber JSJ 446: Achieving Work-Life Balance, Especially When WFH
JavaScript Jabber Exploring Local-First Applications and Data Synchronization Challenges - JSJ 654
JavaScript Jabber JSJ 445: Augmented Reality for Mobile Browsers with Connell Gauld
JavaScript Jabber JSJ 441: The Present and Future of JavaScript Bundling and Delivery with Yoav Weiss
JavaScript Jabber 236 JSJ Interview with Mads Kristensen from Microsoft Ignite
JavaScript Jabber JSJ 439: More Jabber About Less JavaScript with Alex Russell
JavaScript Jabber Remix and EpicWeb.dev with Kent C. Dodds - JSJ 554
JavaScript Jabber Unpacking Deno 2: Code Stability, Free Speech, and more - JSJ 648
JavaScript Jabber 019 JSJ Browserify with James Halliday
JavaScript Jabber JSJ 419: Google App Script with Ben Collins
JavaScript Jabber 034 JSJ Ember.js
JavaScript Jabber JSJ 465:The Power of Micro Front-Ends with Michael Geers
JavaScript Jabber JSJ 395: The New Ember with Mike North
JavaScript Jabber The Alphabet Soup of Performance Measurements - JSJ 622
JavaScript Jabber 031 JSJ history.js
JavaScript Jabber JSJ 436: MongoDB Basics with Joe Karlsson
JavaScript Jabber JSJ 379: FindCollabs and Podcasting with Jeff Meyerson
JavaScript Jabber JSJ 433: Understanding the Browser Layer with Noam Rosenthal
JavaScript Jabber New Frontiers in Web Platform Development with Bruce Lawson - JSJ 634
JavaScript Jabber Pain-Free Automated Deployments with DigitalOcean's App Platform - BONUS
JavaScript Jabber 061 JSJ Functional Reactive Programming with Juha Paananen and Joe Fiorini
JavaScript Jabber JSJ 424: UI5 and web components with Peter Muessig
JavaScript Jabber 010 JSJ Node.js
JavaScript Jabber JSJ 422: CSS and Houdini with Una Kravets
JavaScript Jabber JSJ 421: Semantic HTML with Bruce Lawson
JavaScript Jabber BONUS: Continuing Your Learning Journey by Finding Mentors as an Influencer
JavaScript Jabber JSJ 420: OpenAPI, Redoc, and API Documentation with Adam Altman
JavaScript Jabber JSJ 417: Serverless with Microsoft Azure with Burke Holland
JavaScript Jabber TypeScript, ESLint, and TypeScript ESLint with Josh Goldberg - JSJ 605
JavaScript Jabber Harnessing Module Federation and Micro Front-Ends in JavaScript Development - JSJ 603
JavaScript Jabber Unpacking Core Web Vitals - JSJ 620
JavaScript Jabber 072 JSJ Screencasts
JavaScript Jabber JSJ 416: GraphQL Developer Tools with Sean Grove
JavaScript Jabber JSJ 414: JavaScript Jabber Still at RxJs Live
JavaScript Jabber JSJ 409: Swagger and Open API with Josh Ponelat
JavaScript Jabber JSJ 407: Reactive JavaScript and Storybook with Dean Radcliffe
JavaScript Jabber JSJ 450: Native Features Inside The Browser - Introducing Google's Project Fugu with Thomas Steiner
JavaScript Jabber JSJ 464: Web Components FTW with Ben Farrell
JavaScript Jabber JSJ 400: The Influence of JavaScript Jabber
JavaScript Jabber 185 JSJ PouchDB with Nolan Lawson
JavaScript Jabber DevOps for JavaScript ft. Will Button - JSJ 502
JavaScript Jabber 020 JSJ Cloud9
JavaScript Jabber 076 JSJ Meteor.js with Marcus Phillips and Fred Zirdung
JavaScript Jabber Astro with Fred K. Schott - JSJ 561
JavaScript Jabber JSJ 398: Node 12 with Paige Niedringhaus
JavaScript Jabber JSJ 396: Publishing Your Book with Jonathan Lee Martin
JavaScript Jabber JSJ 342: Aurelia in Action with Sean Hunter
JavaScript Jabber JSJ 394: SMS Integration with Dominik Kundel
JavaScript Jabber JSJ 393: Why You Should Be Using Web Workers with Surma
JavaScript Jabber JSJ 336: “The Origin of ESLint” with Nicholas Zakas
JavaScript Jabber JSJ 332: “You Learned JavaScript, Now What?” with Chris Heilmann
JavaScript Jabber JSJ 391: Debugging with Todd Gardner
JavaScript Jabber JSJ 330: “AWS: Amplify” with Nader Dabit
JavaScript Jabber JSJ 448: MongoDB Schema Fundamentals with Joe Karlsson
JavaScript Jabber JSJ 323: "Building a JavaScript platform that gives you the power to build your own CDN" with Kurt Mackey
JavaScript Jabber Things JavaScript Developers Should Know, Part 2 - JSJ 485
JavaScript Jabber JSJ 383: What is JavaScript?
JavaScript Jabber Transitioning a Large Front-End Codebase to TypeScript ft. Priscila Oliveira and Mark Story – JSJ 498
JavaScript Jabber The 3 Essentials for Successful Job Outcomes - BONUS
JavaScript Jabber JSJ 378: Stencil and Design Systems with Josh Thomas and Mike Hartington
JavaScript Jabber JSJ 372: Kubernetes Docker and Devops with Jessica Deen LIVE from Microsoft BUILD
JavaScript Jabber React Component and State Management - JSJ 526
JavaScript Jabber JSJ 474: Things JavaScript Developers Should Know, Part 1
JavaScript Jabber JSJ 371: The Benefits and Challenges of Server-Side Rendering (SSR) with Dan Shappir
JavaScript Jabber BONUS: How to Speed Up Your Website For Fun and Profit with Inian Parameshwaran
JavaScript Jabber JSJ 370: Azure Functions Part II with Jeff Hollan LIVE at Microsoft BUILD
JavaScript Jabber JSJ 368: TypeScript - Good or Bad
JavaScript Jabber JSJ 390: Transposit with Adam Leventhal
JavaScript Jabber JSJ 369: Azure Functions with Colby Tresness LIVE at MIcrosoft BUILD
JavaScript Jabber JSJ 367: Pair Programming
JavaScript Jabber AgGrid: From Open Source to Successful Business ft. Niall Crosby - JSJ 504
JavaScript Jabber Node in the Browser and Much more: Web Containers with Eric Simons - JSJ 487
JavaScript Jabber JSJ 463: Building Web Applications with Firebase
JavaScript Jabber JSJ 366: npm with Mikeal Rogers
JavaScript Jabber JSJ 364: Ember Octane with Sam Selikoff
JavaScript Jabber 238 JSJ Intellectual Property and Software Forensics with Bob Zeidman
JavaScript Jabber BONUS: How to do LARGE Volumes of HIGH Quality Work - While Spending Fewer Hours Working
JavaScript Jabber JSJ 362: Accessibility with Chris DeMars
JavaScript Jabber JSJ 363: Practical JAMstack and Serverless with Gareth McCumskey
JavaScript Jabber JSJ 361: Enough with the JS Already with Nicholas Zakas
JavaScript Jabber Virtual DOM and the React Way, Part Deux - JSJ 518
JavaScript Jabber How to Stay Current with JavaScript - JSJ 499
JavaScript Jabber NoSQL and RavenDB - JSJ 530
JavaScript Jabber JSJ 357: Event-Stream & Package Vulnerabilities with Richard Feldman and Hillel Wayne
JavaScript Jabber 233 JSJ Google Chrome Extensions with John Sonmez
JavaScript Jabber JSJ 353: Signal R with Brady Gaster LIVE at Microsoft Ignite
JavaScript Jabber JSJ 347: JAMstack with Divya Sasidharan & Phil Hawksworth
JavaScript Jabber JSJ 351: Dinero.js with Sarah Dayan
JavaScript Jabber JSJ 344: Inclusive Components with Heydon Pickering
JavaScript Jabber JSJ 341: Testing in JavaScript with Gil Tayar
JavaScript Jabber JSJ 335: “CanJS 4.0” with Justin Meyer
JavaScript Jabber JSJ 333: “JavaScript 2018: Things You Need to Know, and a Few You Can Skip” with Ethan Brown
JavaScript Jabber JSJ 444: Coding Front-end JavaScript for Accessibility with Neha Sharma
JavaScript Jabber 231 JSJ Codewars with Nathan Doctor, Jake Hoffner, and Dan Nolan
JavaScript Jabber JSJ 410: Iterating on Open Source
JavaScript Jabber JSJ 415: Progressive Web Apps with Maximiliano Firtman
JavaScript Jabber JSJ 412: Svelte and Sapper with Svelte Master
JavaScript Jabber JSJ 403: Why Developers Need Social Skills with Mani Vaya
JavaScript Jabber JSJ 387: How to Stay Current in the Tech Field
JavaScript Jabber JSJ 385: What Can You Build with JavaScript?
JavaScript Jabber JSJ 381: Building a Personal Brand with John Sonmez
JavaScript Jabber JSJ 377: Bringing Maps and Location Into Your Apps with the ArcGIS API for JavaScript with Rene Rubalcava
JavaScript Jabber 221 JSJ Visual Studio Code with Wade Anderson Live From Microsoft Build 2016
JavaScript Jabber JSJ 375: Are You Hurting the Web?
JavaScript Jabber JSJ 373: What Do You Need to Do to Get a Website Up?
JavaScript Jabber 218 JSJ Ember.js with Yehuda Katz
JavaScript Jabber JSJ 359: Productivity with Mani Vaya
JavaScript Jabber JSJ 355: Progressive Web Apps with Aaron Gustafson LIVE at Microsoft Ignite
JavaScript Jabber JSJ 346: Azure Pipelines with Ed Thomson LIVE at Microsoft Ignite
JavaScript Jabber JSJ 317: Prisma with Johannes Schickling
JavaScript Jabber JSJ 315: The effects of JS on CSS with Greg Whitworth
JavaScript Jabber JSJ 313: Light Functional JavaScript with Kyle Simpson
JavaScript Jabber JSJ 300: Celebration
JavaScript Jabber JSJ 291: Serverless For JavaScript with Gareth McCumskey
JavaScript Jabber JSJ 295: Developers as Entrepreneurs with Ryan Glover
JavaScript Jabber JSJ 293: Big Data with Nishant Thacker
JavaScript Jabber JSJ 292: CosmosDB with Kirill Gavrylyuk
JavaScript Jabber JSJ 285 : Finding a Job Even If You're Not a Senior Developer by Charles Max Wood
JavaScript Jabber JSJ 284 : Helping Developers Build Healthy Bodies
JavaScript Jabber JSJ 277: Dojo 2 with Dylan Schiemann and Kitson Kelly
JavaScript Jabber JSJ 309: WebAssembly and JavaScript with Ben Titzer
JavaScript Jabber 048 JSJ Why JavaScript Is Hard

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JSJ 405: Machine Learning with Gant Laborde

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