Self-Improving Agents

Self-improvement is best treated as bounded optimization of harnesses, memory, and reusable experience, with changes tied to observed failures and tested against baselines and held-out tasks. FC-SWE uses verifier feedback to condition later attempts, while DiscoveryRSI reports modest gains after two rounds; transfer, test-time cost, and safeguards remain open questions.