The Compiler Should Be the Boss of the AI Agent
ZigTS uses Pi based agent architecture as a compiler-guided coding agent, where the model drafts code but the compiler decides what survives.
Modern Development Blog
ZigTS uses Pi based agent architecture as a compiler-guided coding agent, where the model drafts code but the compiler decides what survives.
LLM agent systems ship with hardcoded configs chosen by vibes. GEPA closes the loop - agents generate traces, traces get evaluated, and the next run uses what actually worked.
Agentic memory is a technique used in AI agents that integrates long-term and short-term memory to enable persistence, allowing LLMs to store, retrieve, update, and summarize information across conversations, similar to human memory.
Everyone talks about AI writing code. Fewer ask who writes the spec. Turns out there's a way to treat specification as an engineering problem, not a prompting art.
Working on a project with the team of AI Agents... What can go wrong?
Multi-agent systems where different AI models critique each other's work. Sounds wasteful. Turns out it's the opposite.