LangChain co-founder Harrison Chase highlights Self-Harness, a framework for AI agents to autonomously optimize their own codebases

🧠Self-Harness: Harnesses that improve themselves

New paper on agents shaping their own harnesses to improve over time. Not from LangChain, but builds on top of DeepAgents! Three key steps:

1/ Weakness mining: find failure modes from traces 2/ Harness proposal: suggest changes to the harness 3/ Proposal validation: does regression testing on proposals and then accepts

Paper: https://arxiv.org/pdf/2606.09498

Builds on top of DeepAgents: https://github.com/langchain-ai/deepagents