JSJ 274: Amazon Voice Services and Echo Skills with Terrance Smith

JSJ 274: Amazon Voice Services and Echo Skills with Terrance Smith

JSJ 274 Amazon Voice Services and Echo Skills with Terrance SmithOn today’s episode of JavaScript Jabber, we have panelists Joe Eames, Aimee Knight, Charles Max Wood, and we have special guest Terrance Smith. He’s here today to talk about the Amazon Alexa platform. So tune in and learn more about Amazon Voice Services![01:00] – Introduction to Terrance SmithTerrance is from Hacker Ferrer Software. They hack love into software.[01:30] – Amazon Voice ServiceWhat I’m working on is called My CareTaker named probably pending change. What it will do and what it is doing will be to help you be there as a caretaker’s aid for the person in your life. If you have to take care an older parent, My CareTaker will be there in your place if you have to work that day. It will be your liaison to that person. Your mom and dad can talk to My CareTaker and My CareTaker could signal you via SMS or email message or tweet, anything on your usage dashboard, and you would be able to respond. It’s there when you’re not.[04:35] – Capabilities Getting started with it, there are different layers. The first layer is the Skills Kit for generally getting into the Amazon IoT. It has a limited subset of the functionality. You can give commands. The device parses them, sends them to Amazon’s endpoint, Amazon sends a call back to your API endpoint, and you can do whatever you want. That is the first level. You can make it do things like turn on your light switch, start your car, change your thermostat, or make an API call to some website somewhere to do anything.[05:50] – Skills KitSkills Kit is different with AVS. Skills Kit, you can install it on any device. You’re spinning up a web service and register it on Amazon’s website. As long as you have an endpoint, you can register, say, the Amazon Web Services Lambda. Start that up and do something. The Skills Kit is literally the web endpoint response. Amazon Voice Services is a bit more in-depth.[07:00] – Steps for programmingWith the Skills Kit, you register what would be your utterance, your skill name, and you would give it a couple of sets of phrases to accept. Say, you have a skill that can start a car, your skill is “Car Starter.” “Alexa tell Car Starter to start the car.” At which point, your web service will be notified that that is the utterance. It literally has a case statement. You can have any number of individual conditional branches outside of that. The limitation for the Skills Kit is you have to have the “tell” or “ask” and the name of the skill to do whatever. It’s also going to be publicly accessible. For the most part, it’s literally a web service.[10:55] – Boilerplates for AWS LambdaBoilerplates can be used if you want to develop for production. If you publish a skill, you get free AVS instance time. You can host your skill for free for some amount of time. There are GUI tools to make it easier but if you’re a developer, you’re probably going to do the spin up a web service and deal it that way.[11:45] – Do you have to have an Amazon Echo?At one point, you have to have the Echo but now there is this called Echoism, which allows you to run it in your browser. In addition to that, you can potentially install it on a device like a Raspberry Pi and run Amazon Voice Services. The actual engine is on your PC, Mac, or Linux box. You have different options.[12:35] – Machine learningThere are certain things that Amazon Alexa understand now that it did last year or time before that like understanding utterances and phrases better. A lot of the machine learning is definitely under the covers. The other portion of it Alexa Voice Service, which is a whole engine that you have untethered access to other portions like how to handle responses. That’s where you can build a custom device and take it apart. So the API that we’re working with here is just using JSON and HTTP.[16:40] – Amazon Echo ShowYou have that full real-time back and forth communication ability but there is no video streaming or video processing ability yet. You can utilize the engine in such a way that Amazon Voice Services can work with your existing tool language. If you have a Raspberry Pi and you have a camera to it, you can potentially work within that. But again, the official API’s and docs for that are not available yet.[27:20] – ChallengesThere’s an appliance in this house that listens to everything I say. There’s that natural inclination to not trust it, especially with the older generations. Giving past that is getting people to use the device. Some of the programming sides of it are getting the communication to work, doing something that Alexa isn’t pre-programmed to do. There isn’t a lot of documentation out there, just a couple of examples. The original examples are written in Java and trying to convert it to Node or JavaScript would be some of the technical challenges. In addition, getting it installed and setup takes at least an hour at the beginning. There’s also a learning curve involved.[29:35] – Is your product layered in an Echo or is your product a separate device?Terrance’s product is a completely separate device. One of the functionality of his program is medicine reminders. It can only respond to whatever the API calls from Amazon tells you to respond to but it can’t do anything like send something back. It can do an immediate audio response with a picture or turn on and off a light switch. But it can’t send a message back in like two hours from now. You do want your Alexa device to have (verbally) a list of notifications like on your phone. TLDR, Terrance can go a little further with just the Skills Kit.[32:00] – Could you set it up through a web server?Yes. There are examples out there. There’s Alexa in the browser. You can open up a browser and communicate with that. There are examples of it being installed like an app. You can deploy it to your existing iPhone app or Android app and have it interact that way. Or you can have it interact independently on a completely different device like a Raspberry Pi. But not a lot of folks are using it that way.[33:10] – MonetizationAmazon isn’t changing anything in terms of monetization. They make discovery a lot easier though. If you knew the name of the app, you could just say, “Alexa, [tell the name of the app].” It will do a lazy load of the actual skill and it will add it to your available skill’s list.However, there is something called the Alexa Fund, which is kind of a startup fund that they have, which you can apply for. If you’re doing something interesting, there is a number of things you have to do. Ideally, you can get funding for whatever your product is. It is an available avenue for you.[36:25] – More information, documentation, walkthroughsThe number one place to go to as far as getting started is the Amazon websites. They have the Conexant 4-Mic Far-Field Dev Kit. It has 4 mics and it has already a lot of what you need. You have to boot it up and/or SSH into it or plug it up and code it. They have a couple of these kits for $300 to $400. It’s one of the safe and simpler options.There are also directions for the AVS sites which is under Alexa Voice Services, where you can go to the Github from there. There will give you directions using the Raspberry Pi. If not that, there’s also the Slack chatroom. It is alexaslack.com. Travis Teague is the guy in charge in there.PicksJoe EamesAimee KnightCharles Max WoodTerrance SmithSpecial Guest: Terrance Smith.

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The Real State of Tech Hiring: AI, Ghosting, and the Developer Drought - JSJ 698

The Real State of Tech Hiring: AI, Ghosting, and the Developer Drought - JSJ 698

In this episode of JavaScript Jabber, Steve Edwards and I kick things off by catching up on life — from winter weather and marathon training to health journeys, CrossFit, and some behind-the-scenes personal stories that shaped how we think about wellness and longevity. After warming up, we shift our focus to the state of the tech job market, something both of us have been watching closely and experiencing firsthand.We dive into the challenges developers are facing today — especially juniors — and compare our hiring and job-hunting experiences, the impact of AI on resumes and screening, the slowdown in bootcamps, and why the industry feels different than it did even a few years ago. We also unpack economics, incentives, and business realities affecting hiring, plus what developers should be doing right now to stand out.Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

10 Dec 1h 4min

Why Astro Is Winning Developers Over with Sagi Carmel - JSJ 697

Why Astro Is Winning Developers Over with Sagi Carmel - JSJ 697

In this episode, I sit down with developer and speaker Sagi Carmel to dive deep into Astro, why it’s gaining so much traction, and how it compares to frameworks like Next.js, Nuxt, Remix, and SvelteKit. We explore what makes Astro uniquely powerful — from its server-first approach and island architecture to its simplicity, speed, and ability to integrate with any front-end framework you want.Sagi also walks me through real-world use cases, including how he built Israel’s official Census website with Astro, why scoped CSS and server components simplify the development experience, and how tools like HTMX and view transitions make web UX buttery smooth. If you’ve been curious about Astro, this conversation is a terrific deep dive into both its fundamentals and its advanced capabilities.🔗 Links & ResourcesAstro Documentation: https://astro.buildHTMX: https://htmx.orgLooker (Google Cloud): https://cloud.google.com/lookerBigQuery: https://cloud.google.com/bigquerySagi Carmel on YouTube: @SagiCarmelSagi Carmel on LinkedIn: Search “Sagi Carmel”Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

23 Nov 1h 3min

The Truth About AI in Everyday JavaScript Development - JSJ 696

The Truth About AI in Everyday JavaScript Development - JSJ 696

It feels great to finally be back on the mic after a stretch of travel, work, and general chaos, and in this episode we’re diving into a topic that’s been coming up more and more in everyday developer conversations: how to actually use AI in your JavaScript development workflow. This isn’t about adding AI features to your app — it’s about using LLMs and AI-powered tools as part of your day-to-day coding practice.We talk through the tools we each rely on, how they’ve changed the way we write code, where they fall short, and where they can save hours of work. We also dig into the real differences between “AI-assisted coding” and “vibe coding,” the unexpected pitfalls of having AI write your tests, and the growing concerns juniors are facing in a job market that looks very different than it did just a few years ago. If you’re trying to figure out how to work with AI without losing your sanity (or your code quality), this one’s worth a listen.Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

14 Nov 1h 15min

Guarding the JavaScript Supply Chain: Preventing NPM Attacks with Feross Aboukhadijeh - JSJ 695

Guarding the JavaScript Supply Chain: Preventing NPM Attacks with Feross Aboukhadijeh - JSJ 695

Hey everyone—it’s Steve Edwards here, and in this episode of JavaScript Jabber, I’m joined by returning guest Feross Aboukhadijeh, founder of Socket.dev, for a deep dive into the dark and fascinating world of open source supply chain security. From phishing campaigns targeting top NPM maintainers to the now-infamous Chalk library compromise, we unpack the latest wave of JavaScript package attacks and what developers can learn from them.Feross explains how some hackers are even using AI tools like Claude and Gemini as part of their payloads—and how defenders like Socket are fighting back with AI-powered analysis of their own. We also dive into GitHub Actions vulnerabilities, the role of two-factor authentication, and the growing need for “phishing-resistant 2FA.” Whether you’re an open source maintainer or just someone who runs npm install a little too often, this episode will open your eyes to how much happens behind the scenes to keep your code safe.🔗 Links & ResourcesSocket.dev – Protect your open source dependenciesFeross Aboukhadijeh on X (Twitter)GitHub Actions Security Best PracticesTruffleHog Blog – On secrets exposure in Git reposBecome a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

1 Nov 1h

Making Monorepos Breakproof with Anton Stoychev - JSJ 694

Making Monorepos Breakproof with Anton Stoychev - JSJ 694

In this solo-hosted episode, I (Steve Edwards) dive deep into the world of modern monorepos with special guest Anton Stoychev from Yotpo. Anton shares his journey from the early days of PHP and IE6 nightmares to his current work in front-end infrastructure, performance optimization, and developer tooling.We talk about the challenges of managing dependencies, upgrading tools without breaking your codebase, and the evolution of developer experience across teams and companies. Anton also introduces Breakproof, Yotpo’s open-source monorepo template designed to make dependency management and tool upgrades painless—even when working with multiple Node.js versions, runtimes like Bun and Deno, and complex CI environments.If you’ve ever struggled with upgrading Jest, ESLint, or TypeScript in a large monorepo, or you’re curious how to isolate dependencies to keep your codebase maintainable over time, this episode is a must-listen.🔗 Links & Resources🔧 Breakproof on GitHub: breakproof.dev🧠 Yotpo LTD on GitHub: Yotpo Breakproof Base Monorepo💬 Follow Anton Stoychev: stoychev.dev on BlueSkyBecome a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

24 Okt 1h 13min

Spec-Driven Development and the Future of AI IDEs with AWS’s Kiro - JSJ 693

Spec-Driven Development and the Future of AI IDEs with AWS’s Kiro - JSJ 693

In this episode of JavaScript Jabber, I sit down with AWS’s Clare Liguori and Erik Hanchett to talk about Kiro, a brand-new AI-powered IDE that’s reimagining the way developers build software. We dive into how Kiro takes “AI-assisted coding” to a new level through spec-driven development — a process that focuses on defining requirements and collaborating with AI to break projects into clear, manageable tasks.We unpack what sets Kiro apart from tools like Cursor and Copilot, explore its supervised vs. autopilot coding modes, and even talk about how it handles UI design, planning, and complex legacy codebases. Clare and Erik share behind-the-scenes insights on how Kiro was built using Kiro itself, what’s coming next for the platform, and how developers can join the early-access community to help shape its future.🔗 Links & Resources:🌐 Kiro Official Site🧠 AWS Developer Advocate TeamBecome a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

9 Okt 43min

Modern JavaScript Testing: Integration, Contract Testing & AI Tools - JSJ 692

Modern JavaScript Testing: Integration, Contract Testing & AI Tools - JSJ 692

In this episode of JavaScript Jabber, I sit down with Dan Shapir and our special guest, Yoni Goldberg, to dive deep into the ever-evolving world of JavaScript testing. Yoni, a consultant who’s worked with over 40 organizations to refine developer workflows, shares valuable lessons learned from helping teams design efficient and reliable tests.We explore emerging trends in testing, including the rise of browser-based test runners, the shift from unit testing toward more integration and component testing, and how modern frameworks like Playwright, Vite Test Browser Mode, and Storybook are changing the way developers think about confidence in their code. We also tackle the role of AI in writing and maintaining tests, the pros and cons of mocking vs. real backends, and why contract testing is becoming essential in 2025.If you’ve ever struggled with flaky end-to-end tests, wondered how to balance speed with confidence, or wanted a clear breakdown of modern testing tools, this conversation will give you practical insights and fresh perspectives to take back to your projects.Links & ResourcesYoni Goldberg’s GitHubGoldbergYoni.comBecome a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

29 Sep 1h 6min

The Comeback of RPC: SolidJS, TanStack, and the Future of JavaScript Frameworks with Ryan Carniato & Tanner Linsley - JSJ 691

The Comeback of RPC: SolidJS, TanStack, and the Future of JavaScript Frameworks with Ryan Carniato & Tanner Linsley - JSJ 691

In this episode of JavaScript Jabber, I sit down with Ryan Carniato, creator of SolidJS, and Tanner Linsley, the force behind TanStack, for a deep-dive conversation on the resurgence of Remote Procedure Calls (RPC) in modern web development. We explore why RPC is making a comeback, how frameworks like Solid, TanStack, and others are shaping the way we think about data fetching, and the technical innovations that are driving this movement forward.From streaming and serialization to type safety and the future of client-server communication, Ryan and Tanner share their experiences, insights, and the unique challenges they’ve faced building cutting-edge tools for developers. If you’ve been curious about where RPC fits in today’s frameworks—or just love geeking out about performance, signals, and developer experience—this is one episode you won’t want to miss.Links & ResourcesRyan Carniato on SolidJSTanStack (React Query, Router, Table, and more)Sentry – where Ryan is currently workingCreate TanStackSolidJS DiscordRyan CarniatoRyan Carniato is the creator of SolidJS, a high-performance JavaScript framework built on fine-grained reactivity. He’s also a Senior Software Engineer at Sentry, where he explores new approaches to front-end architecture and developer experience. Through his open-source contributions, talks, and in-depth content, Ryan has become a trusted voice in the web development community, helping developers think differently about building fast, reactive applications.Tanner LinsleyTanner Linsley is the founder of TanStack, the home of widely adopted open-source libraries like TanStack Query (formerly React Query), TanStack Router, Table, Virtual, and more. A full-time open-source entrepreneur, Tanner has redefined how developers manage state, caching, and data fetching in modern applications. With a focus on performance, simplicity, and type safety, his tools power some of the most advanced applications on the web today.Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

22 Sep 1h 29min

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