Just updated my music knowledge base powered by @tan_stack and @strapijs to use the official Strapi MCP to expose my data to other services, when want to go beyond using local Ollama models. repo for anyone interested: github.com/PaulBratslavsky/m…

1. Agents are going to eat the entire software development lifecycle 2. There is no upper bound to how much software we need 3. Tons of SaaS services are about to have their lunch eaten In the future, software will be invisible.

I have high hopes for 2027.

A lot of people share cool game demos with a "look what I built" caption. Well, I didn't build this. I paid Claude to build it. For educational purposes, I had it reverse engineer The Elder Scrolls IV: Oblivion, decompiling the game with REA and taking detailed notes. Then, working from those notes, it built a brand-new game engine that runs the game in a web browser. It didn't copy the original code. It reimplemented everything from scratch in TypeScript and Three.js, and adapted the original assets to work with the new engine. To play it, you need to own the original game, since the assets are streamed from your copy. It's kind of wild. I now have something that looks like a complete game running in Three.js. And yes, I did learn something along the way. I asked Claude to create educational material to teach me about reverse engineering as we went. Still, I didn't make this game. I appreciate AI, and it's amazing. It lets us reach beyond what we could do on our own. But if you're truly curious, learn the underlying skills. That's why, a while back, I bought @iced_coffee_dev's Three.js course. AI can probably build every game I can imagine, but I think the real joy is understanding how it's done and having the skill to do it yourself, even if you're not typing as much code by hand. Think of it like music. Sure, I can use Suno to generate a song. But because I also learned music theory and how to play guitar (albeit poorly), I can hear almost any song and play it by ear. So even when I create a song with Suno, I can still play it on a real instrument. Code is the same way. I can use AI, but I want to know that if I'm ever broke and can't pay for Claude, or I don't have internet, I can still create things. Anyway, rant over. Have a nice day.

TanStack Start goes 1.0! This is huge! Congratulations team 👏

The wait is over! If you were looking for permission to use TanStack Start, this is it. The only directive you need now is the one you give your agent: "Use TanStack"

What a time to be alive. AI slop at it's greatest, and I'm here for it. I made a game that streams music and content from my YT channel, so as you play, I get views. But I am sure there are better things I can be doing with my time.

Code isn't some accidental bi-product of software, it's an exact set of instructions for the computer. Saying "English is the new programming language" is cute, but obviously a bit of marketing fluff. I say this as someone not "writing" code and only reading _some_ of the code.

Here's a breakdown of 15 of the principles that drive my product development. mega.dev/ship-without-readin…

Web crawlers /[•]\ #js x #css

Can't wait to be there and meet everyone in person.

Love @tan_stack and now TanStack Ai. So flexible and awesome. Pretty much using it in all my recent projects.

I'm telling you guys, you're sleeping on it. If you don't feel FOMO you should be worried

Yes. That is true. That is why I am excited about my presentation on TanStack AI and what I built at React Summit. Also excited to have @AlemTuzlak to give us a presentation on TanStack AI at @strapijs To be announced. 🙂

GitHub actions are a super easy way to get started with software factories 1. Essentially free sandboxes for public repo's 2. You already have a login 3. Create tickets (pieces of work for the agent to do) as issues 4. Use labels to trigger actions, which create PR's 5. Actions can apply labels, which create loops 6. Cron jobs (albeit not very accurate) for running daily jobs 7. Simple observability for seeing what went wrong Great for messing about with software factories before building them on your own infra

Recently went through the exercise of migrating from WordPress to @strapijs see what I learned.

If you’re building component systems for the web, you won’t want to miss this. Remix 3 components keep everything you love about React and use plain JS. Ditch the hook-script, and get a nice 2x speed boost too.

Another day of Unemployed Kyle (aka WDS) dunking on me because he has no real career experience. His main complaint here is that I show multiple instances where I didn't know the depth of how part of a codebase worked. Sounds bad until you realize it's a codebase with over 300 contributors and millions of lines of code. Doesn't matter how much AI is used, nobody knows the implementation details of all the code in a real world codebase like this. The example he highlights is one where I was unfamiliar with details of how tagged skills are attached when we pass prompts to the Claude SDK. Funny enough, I know a lot (probably too much) about how we tag skills and how messages are passed over SDK, but this one intricacy was new to me. Knowledge gaps like this are the norm in real world work. Learning to operate with partial understandings of systems is key to long term success as an engineer, regardless of AI usage. I'm genuinely scared that inexperienced devs like Kyle are going to trick well-meaning juniors into holding back their careers.

Already supported in TanStack AI!