harness-engineering-guide

Audit, design, and implement AI agent harnesses for any codebase. A harness is the constraints, feedback loops, and verification systems surrounding AI coding agents — improving it is the highest-leverage way to improve AI code quality. Three modes: Audit (scorecard), Implement (set up components), Design (full strategy). Use whenever the user mentions harness engineering, agent guardrails, AI coding quality, AGENTS.md, CLAUDE.md setup, agent feedback loops, entropy management, AI code review, vibe coding quality, harness audit, harness score, AI slop, agent-first engineering. Also trigger when users want to understand why AI agents produce bad code, make their repo work better with AI agents, set up CI/CD for agent workflows, design verification systems, or scale AI-assisted development. Proactively suggest when discussing AI code drift or controlling AI-generated code quality.