JSJ 401: Hasura with Tanmai Gopal
JavaScript Jabber17 Loka 2019

JSJ 401: Hasura with Tanmai Gopal

Tanmai is one of the founders at Hasura. Hasura gives you instant graphQL APIs on top of a Postgres database. The eventual idea is to make data access secure and easy. Tanmai explains the challenges of doing this in the cloud. He talks about some of the difficulties with the tooling around using GraphQL and its bias towards working well with a monolith. Since GraphQL is basically a shared type system that describes your API, that means all your types need to be in the same code base. This is at odds with the folks who want to do microservices and serverless functions, because since their API is split across multiple services they have different types, and forcing these types to work together defeats the purpose of using microservices. Also, storing state across requests doesn’t work well with serverless and cloud native stuff. In short, learning to live without state is one of the general challenges with going serverless. This is where Hasura comes into play, and Tanmai explains how it works. Hasura is metadata driven, and each instance of the server can leverage multiple calls and exhibit a high amount of concurrency. It’s designed to be a little more CPU bound than memory bound, which means that configuring auto scaling on it is very easy and allows you to utilize the elasticity of cloud native applications. Tanmai clarifies his usage of the word ‘cloud native’, by which he means microservices. He explains that when you have a metadata based engine, this metadata has a language that allows you to bring to bring in types from multiple upstream microservices, and create a coherent graphQL API on top of that. Hasura is a middle man between the microservices and the consumer that converts multiple types into a single coherent graphQL API.Next, Tanmai explains how Hasura handles data fetching and a high volume of requests. They also invented PostgresQL, RLS-like semantics within Hasura. He explains the process for merging your microservices into a single graphQL interface. Back on data fetching, Tanmai explains that when the product is an app, preventing an overabundance of queries becomes easier because during one of the staging processes that they have, they extract all of the queries that the app is actually making, and in the production version it only allows the queries that it has seen before. Hasura is focused on both the public interface and private use cases, though private is slightly better supported. Tanmai talks about the customizations available with Hasura. Hasura supports two layers. One is an aliasing layer that lets you rename tables, columns, etc as exposed by PostgresQL. The other is a computer column, so that you can add computer columns so you can extend the type that you get from a data model, and then you can point that to something that you derive. The panelist discusses the common conception of why it is a bad idea to expose the data models to the frontend folks directly. They discuss the trend of ‘dumbing down’ available tooling to appeal to junior developers, at the cost of making the backend more complicated. They talk about some of the issues that come from this, and the importance of tooling to solve this concern. Finally, Tanmai talks about the reasons to use Hasura over other products. There are 2 technologies that help with integrating arbitrary data sources. First is authorization grammar, their version of RLS that can extend to any system of types and relationships, The second is the data wrapper, part of the compiler that compiles from the graphQL metadata AST to the actual SQL AST. That is a generic interface, so anyone can come in and plug in a Haskell module that has that interface and implement a backend compiler for a native query language. This allows us to plug in other sources and stitch microservices together. The show concludes with Tanmai talking about their choice to use Haskell to make Hasura. Panelists
  • AJ O’Neal
  • Dan Shapir
  • Steve Edwards
  • Charles Max Wood
With special guest: Tanmai GopalSponsorsLinks Follow DevChatTV on Facebook and Twitter PicksAJ O’Neal:Dan Shapir:Steve Edwards:Charles Max Wood:Tanmai Gopal: Special Guest: Tanmai Gopal.

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Speaking Up: The Developer’s Guide to Conference Talks & Career Growth - JSJ 682

Speaking Up: The Developer’s Guide to Conference Talks & Career Growth - JSJ 682

In this episode of JavaScript Jabber, I am joined by three incredible guests — Ariel Shulman, Liad Yosef, and Evyatar Alush — to dive into the world of public speaking in tech. From the jitters of their first talk to the professional and personal growth that comes with hitting the stage, we unpack the full journey of becoming a tech speaker. Whether you're just curious about getting started or want to sharpen your presentation game, this episode is packed with real talk and insights from experienced voices in the community.We get personal about the why, the how, and the what next of conference speaking — covering the motivations, the process of getting accepted, tips for preparing standout talks, and even how public speaking can open doors to career-changing opportunities. If you've ever wondered what it really takes to be heard on stage, this conversation might just be your launchpad.🔗 Links & ResourcesReact Next ConferenceNo TLB ConferenceJS Heroes RomaniaSessionize - CFP platformReversim Tech ConferenceReact SummitGitNation ConferencesBecome a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

10 Heinä 1h 44min

How Holepunch Is Redefining Peer-to-Peer Apps with Bare.js — A New Era for JavaScript Developers -JSJ 681

How Holepunch Is Redefining Peer-to-Peer Apps with Bare.js — A New Era for JavaScript Developers -JSJ 681

In this episode, we sit down with Mathias Madsen, CEO of Holepunch, and take a wild ride through the cutting edge of peer-to-peer JavaScript development. Mathias shares his journey from accidentally discovering JavaScript in college to becoming a prolific contributor with over 1,500 open source modules. His passion? Building decentralized, peer-to-peer systems where JavaScript isn’t just for the browser—it powers the entire stack.We dive deep into how Holepunch is reimagining application distribution with their Pear system —essentially turning peer-to-peer into a first-class citizen for distributing full applications, not just files. No hosting, no servers — just apps shared directly, BitTorrent-style. And because packaging and distributing Node-based apps can be painfully complex, they took things a step further by building a new runtime: Bare.jsBare.js is refreshingly "bare": it strips away the heavy, opinionated APIs bundled into Node or Deno, leaving just the JavaScript core and a powerful module system. What’s revolutionary here is Bare's ability to run the same codebase across desktop, mobile, and even tiny embedded devices—swapping out engines like V8, JavaScriptCore, or JerryScript depending on the platform's needs. This allows Mathias' team to write backend logic once, share it across all platforms, and iterate at lightning speed.Key takeaways:-Peer-to-peer can go far beyond media sharing — it's being used for full app distribution.-Bare.js decouples JavaScript from specific platforms, creating a universal backend that just works anywhere.-Modular design isn't just a philosophy — it's the secret to Holepunch’s rapid development pace.-The combination of React Native for UI and Bare.js for backend creates an insanely productive development pipeline, fully cross-platform.If you’re into JavaScript, peer-to-peer tech, or just love hearing about developers breaking the mold, this one’s for you.About the GuestMathias is the CEO of Holepunch (https://holepunch.to/). He brings his passion for open-source software, and deep experience in the area, having  published more than 1000 modules to npm, the Node.js package manager, totaling billions of downloads every month.Mathias Buus is a self taught Javascript hacker from Copenhagen. He works full time on open source projects and has been working with Node.js since the 0.2 days. Mathias likes to work with P2P and distributed systems and is the author of more than 550 modules on npm, including some of the most popular ones for working with streams. In addition he has spoken about mad science projects at various conferences around the world.Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

24 Kesä 1h 6min

Migrating a Legacy JavaScript Codebase to TypeScript - JSJ 680

Migrating a Legacy JavaScript Codebase to TypeScript - JSJ 680

In this episode, Dan and I (Steve) dove deep into what turned out to be a surprisingly complex, yet incredibly insightful topic: gradually migrating a massive legacy JavaScript project over to TypeScript. We're talking about nearly 1,000 JS files, 70,000+ lines of code, and years of developer history—all transitioning carefully to a typed, modern future.Dan walked us through how he started by setting up the project for success before converting even one file—getting CI/CD ready, setting up tsconfig.json, sorting out test dependencies, dealing with mock leaks, and even grappling with quirks between VS Code and WebStorm debugging.We talked tools (like TS-ESLint, concurrently, and ts-node), why strict typing actually uncovered real bugs (and made the code better!), and why it’s crucial not to touch any .js files until your TypeScript setup is rock solid.Key Takeaways:Gradual migration is 100% possible—and often better—than ripping the bandaid off.TypeScript can and will catch bugs hiding in your JavaScript. Be prepared!Use VS Code extensions or TS-Node to support your devs’ tooling preferences.Don't underestimate the setup phase—it’s the foundation of long-term success.Start small: Dan's team converted just one file at first to test the whole pipeline.If you’re sitting on a legacy JS project and dreaming of TypeScript, this episode is your blueprint—and your warning sign.Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

5 Kesä 1h 25min

TypeScript, Security, and Type Juggling with Ariel Shulman & Liran Tal - JSJ 679

TypeScript, Security, and Type Juggling with Ariel Shulman & Liran Tal - JSJ 679

In this episode, we dove headfirst into the swirling waters of TypeScript, its real-world use cases, and where it starts to fall short—especially when it comes to security. Joining us from sunny Tel Aviv (and a slightly cooler Portland), we had the brilliant Ariel Shulman and security advocate Liran Tal bring the heat on everything from type safety to runtime vulnerabilities.We started off with a friendly debate: Has TypeScript really taken over the world? Our verdict? Pretty much. Whether it’s starter projects, enterprise codebases, or AI-generated snippets, TypeScript has become the de facto standard. But as we quickly found out, that doesn’t mean it’s perfect.Key Takeaways:-TypeScript ≠ SecurityWe tend to trust TypeScript a bit too much. It’s a build-time tool, not a runtime enforcer. As Liran pointed out, “TypeScript is not a security tool,” and treating it like one leads to dangerous assumptions.-Type Juggling is Real (and Sneaky)We explored how something as innocent as using as string on request data can open the door to vulnerabilities like HTTP parameter pollution and prototype pollution. Just because your IDE is happy doesn’t mean your runtime is.-Enter Zod – Runtime Type Checking to the Rescue?Zod got some love for bridging the dev-time/runtime gap by validating data on the fly and inferring TypeScript types. But even Zod isn’t foolproof. For example, unless you're using .strict(), extra fields can sneak past your validations, leading to mass assignment bugs.-Common Developer FallaciesWe discussed the misplaced confidence developers have in things like code coverage and TypeScript alone. One of the big takeaways: defense in depth matters. Just like testing, layering your security practices (like using Zod, type guards, and proper sanitization) is key.-TypeScript Best Practices Are EvolvingFrom discriminated unions to avoiding any, from using Maps over plain objects to prevent prototype pollution—TypeScript developers are adapting. And tools like modern Node.js now support type stripping, which makes working with .ts files at runtime a bit easier.Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

29 Touko 1h 32min

Building Agentic AI Workflows with Matthew Henage - JSJ 678

Building Agentic AI Workflows with Matthew Henage - JSJ 678

In this episode, we sat down with full-stack developer and AI innovator Matthew Henage, creator of WAOS.ai (Web App Operating System) and the incredible storytelling platform SpeakMagic.ai. This conversation took us deep into the world of agentic AI, low-code app building, and the future of intelligent workflows.We kicked things off with Matthew sharing how he’s been riding the AI wave since GPT-3.5 blew his mind. His platform WoWs is all about making it easy for developers to build powerful web apps with embedded AI workflows — think of it like Zapier meets ChatGPT, but with agents working together instead of API chains.One of the most eye-opening parts of our chat was learning about agent swarms — essentially teams of specialized AI agents that collaborate to perform complex tasks. Instead of relying on one giant AI brain to do everything, you create smaller, purpose-built AIs that handle specific steps in a workflow. It’s scalable, smarter, and kind of like assembling your dream dev team… but all made of code.Matthew’s Speak Magic project is a jaw-dropper. It uses a swarm of over 40 agents to turn a single story idea into a fully animated, two-minute video — complete with scenes, scripts, character animations, music, and more. It’s AI storytelling on steroids.We also talked a lot about:Best practices for building reliable AI workflowsThe importance of keeping context windows small (under 4,000 tokens works best!)How prompt engineering is becoming the new programmingUsing AI for vibe coding (yes, that’s a thing) and rapid prototypingThe tradeoffs between using traditional programming vs. letting AI handle logicEthical considerations and how to handle memory and privacy in long-running user interactionsCheck out Matthew’s work at WAOS.ai and speakmagic.ai — and as always, stay curious and keep building!Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

22 Touko 1h 3min

Reinventing Web Development with Brisa: A Conversation with Aral Roca - JSJ 677

Reinventing Web Development with Brisa: A Conversation with Aral Roca - JSJ 677

In this week’s episode, it’s just me — Charles Max Wood — and I’m joined by the incredibly sharp and open-source-loving Aral Roca, direct from Barcelona! Aral’s the creator of Brisa, a new full-stack web framework that flips the script on how we build modern web apps. If you thought the "another day, another framework" meme was played out... well, Brisa might just change your mind.Key Takeaways:-Brisa’s Big Idea: It's designed to let you build web apps with minimal or zero JavaScript on the client side. Think HTML streaming, server actions, and components that render server-side first, but can gradually hydrate on the client.-Server-first FTW: Aral walks us through how Brisa handles server actions — even capturing click and scroll events on the server — using ideas inspired by HTMX, LiveView, and server components from frameworks like Next.js.-Tiny and Mighty: The whole framework is incredibly lightweight. Web components come in at just ~3 KB, and the built-in i18n system is under 1 KB!-From Idea to Reality: Aral started Brisa to scratch his own itch — building side projects and blogs without bloated front-end code. But now, others are using it too (yes, even in production!), including one travel agency that's gone all-in.-Multi-platform Future: Brisa has adapters in the works for Vercel, Node, and Deno — plus integration with Tauri for building native Android, iOS, and desktop apps from the same codebase.-What's Coming: Roadmap goals include improved hot reloads, more adapters, transitions, lazy-loaded components, and a better playground for developers to tinker with.Oh, and yes — Aral does parkour. For real.This episode is packed with deep technical insight and exciting potential for a new way to build web apps — especially for devs who love fast performance, server-rendering, and clean architecture.Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

15 Touko 1h 5min

Building Enterprise Infrastructure with Bit & AI with Gilad Shoham - JSJ 676

Building Enterprise Infrastructure with Bit & AI with Gilad Shoham - JSJ 676

In this episode, I (Steve Edwards) flew solo on the mic but had the pleasure of hosting a truly insightful conversation with Gilad Shoham, VP of Engineering at Bit.Cloud. Gilad brought the heat from Israel as we explored how Bit is revolutionizing enterprise software architecture—and how AI is being layered on top to supercharge developer productivity.We started by breaking down Bit’s core platform, which helps teams compose applications from reusable, independently versioned components. Think Lego blocks, but for your codebase. It’s all about boosting dev velocity, reducing duplication, and making collaboration across teams more seamless.Gilad walked us through some jaw-dropping features: versioning without Git, deep component CI pipelines, and even Bit’s ability to replace monolithic repositories with a graph of decoupled components. Everything is Node + TypeScript under the hood, and while it’s currently JS-focused, the ambition is clearly broader.Then came the big twist: AI. Bit is now leveraging AI not to just write code, but to compose it using existing components. Instead of bloating your codebase with endless variations of the same button, Bit’s AI understands your graph and builds features by intelligently reusing what’s already there. It’s like Copilot with a memory—and architectural sense.Key takeaways:Bit components wrap your existing code (like React/Vue) with metadata, testing, and versioning.Their infrastructure makes it possible to build and test components independently and in parallel.The AI strategy is reuse-first: generate only when needed, always compose from what already exists.Even massive enterprise codebases can gradually migrate to Bit without a full rewrite.Expect a human-in-the-loop process, but with most of the heavy lifting handled by AI.Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

8 Touko 58min

Replacing Create React App: Why Create TS Router App Is the Future of React Development - JSJ 675

Replacing Create React App: Why Create TS Router App Is the Future of React Development - JSJ 675

We’ve been diving into the evolving landscape of React app development and why tools like Create TS Router App (CTA) are stepping up to fill the gap left by the deprecation of Create React App (CRA). What we’ve learned is that SSR (server-side rendering) isn’t one-size-fits-all—e-commerce sites need it for SEO and performance, but internal tools and dashboards often don’t. That’s where CTA shines. It gives us a fast, modern, Vite-powered setup with TanStack Router built in, so we can start small and scale up without committing to heavy frameworks like Next.js from day one.What we love about CTA is how it keeps things familiar (same structure as CRA) while giving us type safety, file-based routing, and the flexibility to add only the features we need—like Clerk, Sentry, or even SolidJS support. Whether we’re building a simple prototype or a full-featured app, CTA makes the experience smoother, more intuitive, and future-friendly.Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

2 Touko 1h 30min

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