If an LLM builds your frontend, give it a language built for LLMs.

Your agent came to build a button. Your stack handed it a committee: a framework, a bundler, a transpiler, a minifier and a dozen config files. Every one of them is a decision the model has to reconstruct, and context it spends on tooling instead of on your product.

I built BRAINLLM to shorten that path: a compact component language ( .brain ), one canonical spec and a native compiler written in Rust that tells the agent exactly how to fix its mistakes.

🦀 One native binary: parser, checker, codegen, bundler and minifier. No Vite, webpack, esbuild or Babel in the build pipeline.

⚡ Warm production builds in ~34 ms on our open benchmark.

🤖 Agent-ready diagnostics with exact fix edits, plus CLI and MCP tools.

🍦 Zero runtime dependencies. The output is vanilla JavaScript and CSS.…