What interests me about TypeSafe's Jev is turning human language into data we can query. Restaurant reviews, product complaints, and Reddit discussions make the idea much more concrete than another chatbot benchmark.
The demos are intoxicating — a chat box, a streaming response, thirty lines of code and it feels like magic. Then you try to ship it and the hard parts show up all at once: streaming UI, structured output you can trust, state that doesn't fight you. Here's what building AI into a real React app actually takes.
Append-only markdown memory works great — until it doesn't. After watching the system degrade in production, our team redesigned it from scratch with strict principles: small, high-signal, controlled, and self-maintaining.
A simple file-based memory system that turns AI agents from forgetful interns into reliable collaborators. Works for engineers, designers, writers, and anyone who uses AI tools daily.
How structured documentation dramatically improves AI-generated code quality by giving agents the context they need.