HDD
Specs and architecture · Harness-Driven Development
One specific method within harness engineering: every agent mistake becomes a rule of its environment — an instruction, a check or a limit. The environment grows from real mistakes and the mistake does not return in later runs.
Where it appears · 9
- Will AI agents take your job · Harness
- QA work after support with an AI agent · Harness
- MCP for an AI agent · Harness
- Harness engineering in practice · Harness
- Approaches to working with a harness · Prompts and review
More 4
- A reconcile loop for specs · Specs and context
- Specs by aggregate · Specs and context
- AGENTS.md and CLAUDE.md, specs, rules and skills · Specs and context
- Prompts for work tasks · Prompts and review