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Spec features with AI and hand off to coding agent

Author discusses a spec with an AI agent or ChatGPT, then hands it to an agent to code, and tests the outcome instead of reading every line.

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Use case overview

Author discusses a spec with an AI agent or ChatGPT, then hands it to an agent to code, and tests the outcome instead of reading every line.

Reported experience

  1. What they did

    The author first talks through a feature with an AI agent or ChatGPT to produce a thorough spec. That spec then goes to a coding agent, which writes the code. The author doesn't read every line of the output; instead they test the result thoroughly themselves.

  2. How it went

    The author says they ship better-quality applications much faster, and that the AI handles edge cases and best practices they might have missed. Bugs that remain, like unexpected data, are ones they'd have written too.

  3. Worth knowing

    Since review happens through testing rather than reading code, the quality of your tests, especially with unexpected input data, decides whether bugs get caught.

Example prompts

Try with Claude Code
I want to add [feature] to this project. First interview me with questions until you can write a clear spec, and save it as SPEC.md. Then implement it and write tests that check the behavior. Finished means the tests pass and you give me a short list of steps to try the feature myself. Ask before deleting files or changing the database.
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