Stop Your AI Agent Repeating the Same Mistake: Reviewed Skills with lessonweaver

Last Updated on August 19, 2026 by Editorial Team Author(s): Diogo Santos Originally published on Towards AI. A deterministic, human-gated tool that turns your agent’s real failures into reviewed AGENTS.md, Claude, and Copilot instructions — no LLM in the loop. Your coding agent reviewed a pull request last Tuesday. It read the title and the description, said “looks good,” and approved it — without ever opening the diff. A human caught it, left a correction, and moved on. The article explains why agentic systems repeatedly make the same mistakes—because corrections don’t persist in durable context—and argues for a middle path between fully automated self-editing (unsafe and hard to audit) and manual updates (doesn’t scale). It introduces lessonweaver, which mines execution traces for recurring failure signals, routes candidate lessons through structured human review, gates promotion with lint checks, and exports only approved guidance as diff-first, reviewable instruction artifacts (e.g., AGENTS.md fragments, Claude skills/rules, and Copilot instructions). It then walks through the concrete five-step pipeline (detect → interview → answer → approve → export), shows how the approve …