Tagged: coding-agents
11 posts
Teaching Your AI Agent to Learn From Its Mistakes
Your AI coding agent makes the same mistakes over and over. What if it could learn from corrections, track which skills cause failures, and tell you whether it already fixed the problem? I built a closed-loop learning system for my coding agent, inspired by a meta-learning paper, and here's how it works.
From Autoresearch to Autoimprove: Generalizing the Agentic Experiment Loop
autonomous optimization loop
autoimprove on GitHub
autoimprove presentation
Karpathy's autoresearch
Shopify Liquid PR #2056
From Autoresearch to Autoimprove: Generalizing the Agentic Experiment Loop
Two unrelated projects discovered the same pattern: point an AI agent at code, give it a score to chase, and let it run experiments until morning. I generalized it into a tool that works for any domain.
From Autoresearch to Autoimprove: Generalizing the Agentic Experiment Loop
Autonomous optimization loop for AI agents. Covers the autoresearch pattern, the improve.md format, goal-aware test generation, guard metrics, 10 domain templates, and real-world results on a RAG search engine.