Tagged: meta-learning

MetaClaw: Continual Meta-Learning for LLM Agents

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