Vaibhav Gupta
@vaibcode
Making a programming language - BAML. @boundaryml, 🦄 aitw podcast: https://www.youtube.com/@boundaryml prev YC, google, msft, deshaw, and other things
내가 좋아할 만한 콘텐츠
I don’t enjoy the syntax and tooling we use to building AI pipelines. Langchain/ai sdk/et all have never really felt “right”. No type safety, single language support, prompt is hidden until I buy some observability suite. So we made a thing youtu.be/wD3zieaV0Yc?si…
youtube.com
YouTube
BAML: a new programming language for AI - Vaibhav Gupta
Our goal is simple: Process user intent into transactions without bespoke integration of DeFi SDKs. Just plain, direct interaction with blockchain nodes. But this isn't just a chatbot task. It requires resolving addresses, building calldata, and computing gas & slippage…
what if openai is more comcast than msft? everyone wants internet, the company doesn't matter. everyone wants a model, the company doesn't matter? or does it?
ffi bridging rust <--> rust is cruel and unusual punishment. But anything to make a users life better.
smart man
It's hard for me to recommend using python to someone new to code, even with AI help. There are still too many ways to shoot yourself in the foot. The main one is not enforcing any types. You have to explain to this new user the concept of typing.
More people talking about unwrap and rust, than those impacted by cloudflare going down
day 0. @antigravity is a dope name btw. thoughts on it coming later this week!
Excited to launch Google Antigravity, our next generation agentic IDE, now powered by Gemini 3!
Meet Google Antigravity, your new agentic development platform. An evolution of the IDE, it's built to help you: - Orchestrate agents operating at a higher, task-oriented level - Run parallel tasks with agents across workspaces - Build anything with Gemini 3 Pro.
AI/ML maybe for training models. Reliable agents apps can't be built on python. No enforced type-safety. Lack of multi-line lambdas. Ever tried streaming w/ python? Its just not designed for it.
So far it has been a breeze, and between linter and AI the newl language is a non-issue. I had some hiccups with error handling, where a provider rate limit produced parse errors due to empty/missing response field. I tried fallback too. But overall great.
I tried to build something similar two years ago. The concept was Markdown file as prompt template with frontmatter defining schema, model, etc, which gets transformed into a callable. But it was shitty so I'm thrilled to trash it and use BAML instead.
wow ur really good at agents (derogatory)
BAML: You're trying to understand how some prompt works. Open a file, and then open the playground, press play. Ok you get it now. Open another, same. And another. And another... Life is better and then you can actually get back to shipping. For real, try it today.
Java: You're trying to understand how some code works. Open a file, it's ~20 lines of trivial boilerplate and getters/setters. Open another, same. And another. And another. This happens like 75 times. It's legitimately hard to find a place where anything is actually being done.
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