u/TomatoKindly7082

Most runtimes used by AI agents today are designed for humans, not disposable AI-generated code.

I’ve been experimenting with a small scripting runtime called Autolang focused on:

• low startup latency,
• strict static restrictions,
• restartable arena memory,
• opcode execution limits,
• and lightweight orchestration around existing ecosystems (Python/C++/JS).

The goal isn’t replacing Python, but creating a safer intermediary layer for short-lived AI-generated scripts.

I’m curious whether people here think this direction makes sense for modern AI-agent systems, especially compared to approaches like Wasm, Lua, or sandboxed Python.

I’d also genuinely appreciate feedback on runtime/compiler design and possible performance improvements if the project sounds interesting.