Developer Builds Autolang Runtime Designed Around Weaknesses of Lightweight AI Models

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A developer created Autolang, a scripting runtime library designed specifically for executing AI-generated code produced by lightweight language models like Gemini Flash. The project addresses a common problem with cheaper AI models — hallucinated functions, unreliable typing, and unpredictable errors — by building a controlled sandbox rather than relying on larger, more expensive models. Autolang features static typing, stack traces, opcode limits, managed VM memory, and a binding system that lets developers restrict exactly which capabilities the AI can access. Instead of exposing broad APIs, developers register constrained, purpose-built functions, giving the AI only what it needs to write business logic. The project, available at autolang.vercel.app, also serves as a personal learning exercise in compiler and runtime design, with syntax inspired by Kotlin and TypeScript.

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