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Most AI harnesses optimize the cheapest part of software development.
With coding agents, the cost of analysis, design, and implementation is rapidly collapsing. But that was never the part of the software that hurt the most.
The expensive part starts after the first commit: testing, review, security, maintenance, and keeping systems evolvable over time.
That is what oh-my-agent is built for.
oh-my-agent is a quality-first AI harness, not a speed-first one.
It assumes the real world: developers do not stay within a single runtime or model. They rotate Claude, Codex, Gemini, Copilot, Qwen, Kimi, and whatever comes next. A harness built around a single runtime breaks as soon as that assumption does.
So, oh-my-agent keeps the source of truth in your repo:
`.agents/` as a plain portable directory
vendor-native subagents generated on demand
compatibility across runtimes and models
role-based agents that teams can customize for their own standards
And instead of optimizing only for code output, it adds explicit quality controls where software cost actually lives:
5-phase quality gates with 11 review checkpoints via `/ultrawork`
Charter Preflight before implementation starts
Clarification Debt tracking for unresolved ambiguity
Quality Score (0–100) as a stop-ship signal
OWASP Top 10 checks built into QA review
review resources aligned with standards such as ISO/IEC 25010, 29119, 27001, and 42001
To prove it works beyond demos, first-fluke/fullstack-starter ships as a real open-source preset wired end-to-end with oh-my-agent.
oh-my-agent is not trying to win the race to make AI write code faster.
It is trying to reduce the cost that actually dominates software: keeping it working, secure, and maintainable after it is built.
👉 Check the README now and see how it actually runs.
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