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OpenAI Codex workflows for long-running coding tasks

Codex workflows for repository work, goals, tests, reviews, browser QA, and safe handoff of agent changes.

Where it is useful

  • Bug fixes and refactors with tests and clear result handoff.
  • Frontend QA, browser checks, and screenshot-based iteration.
  • Multi-step tasks where an explicit goal keeps context stable.

Checklist

  • Describe the goal as a verifiable state, not just a request.
  • Name relevant tests, routes, files, and non-goals.
  • Have Codex report results, risks, and unverified areas at the end.

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Current community loot

Recent articles and sources

Frequently asked questions

When is a Codex goal useful?

When the task runs longer, touches multiple files, or needs verification across multiple iterations.

What should I give Codex before it starts?

Goal, relevant routes or files, test commands, constraints, and clear criteria for completion.

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