AI & Machine Learning
Harness Creator
Build, audit, and improve harnesses that make AI coding agents reliable: AGENTS.md/CLAUDE.md instruction files, feature/state tracking, verification gates, scope boundaries, session handoff, memory persistence, context budgets, tool-permission safety, and multi-agent coordination. Use this whenever a coding agent is unreliable across sessions — forgets context, drifts out of scope, claims "done" before tests pass, or starts each session inconsistently — or when creating or assessing AGENTS.md, CLAUDE.md, feature_list.json, init.sh, progress.md, or session-handoff files. Reach for it even if the user never says the word "harness."
- Publisher / source
- walkinglabs/learn-harness-engineering (found on GitHub top repositories)
- Upstream record
- walkinglabs/learn-harness-engineering
- Version
- Version 1
- Published
- Publication review
- Approved for publication
- Content fingerprint
6b152a8c5191fb3092f8371046e43846b8f42c60509c7c6eec282658beee81df