Everyone loves a 10-minute demo of an AI agent building a snake game. But try to build a production-ready full-stack app, and the magic dies pretty quickly.
I spent the last few months trying to scale my side projects using various AI coding tools and agent swarms. The pattern was always the same: everything is great until day three. Then the context gets too large. The agent forgets the original product spec and tries to rewrite your database schema when you just asked it to fix a CSS button.
Most frameworks try to fix this by having multiple agents chat with each other over APIs (like a virtual software company). But debugging an API-driven agent conversation is a nightmare. And if the python process crashes, the agents lose all their memory state.
I got fed up and decided to go back to the 1970s.
The Unix Philosophy applied to LLMs
