I Built a Language Where AI Calls Are Sandboxed by Default

The 30-line Python problem

Last month I needed a script that reads server logs, classifies errors with an LLM, summarizes them, and writes a report. In Python, it looked like this:

• Import the SDK
• Initialize the client
• Handle the API response
• Parse JSON
• Add asyncio.gather() because sequential calls took 8 seconds
• Write a custom sandbox because I don't trust LLMs with exec and file writes
• Package it in Docker because requirements.txt always breaks on the server

80 lines later, it worked. But it felt wrong. I wasn't building logic — I was plumbing.

So I asked myself: What if AI operations were language primitives, not library calls?

Meet Pipe

Pipe is a small runtime (~10 MB, single binary, zero dependencies) that treats summarize, translate, classify, and ask as first-class citizens — on the same level as +, sort, or len.

Try it

Browser Playground (WASM, no install): pipe-lang.com

Source: github.com/MachuraHarry/pipe

Docs: pipe-lang.com/docs