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How do I prompt for better code generation?

State the environment (language, version, framework), the exact behavior you want, and constraints like complexity or dependencies. Provide an interface or function signature and at least one representative test case. Ask for small, composable functions over monolithic blobs. For refactors, paste the smallest relevant snippet and a goal. Always request a brief rationale and a test to verify behavior.

In practice

If you can’t write a test, you don’t yet know what ‘correct’ means—fix that before prompting.

Where to start

  1. [01]Add a single passing test to every code request.
  2. [02]Limit code prompts to one feature at a time.
  3. [03]Use diffs for refactors rather than full files.
  4. [04]Run generated code in a sandbox and lint it.
code generation promptAI code writingcoding with LLMs

Related questions

// 001How do I prompt AI to design or review APIs?// 002Can AI help generate QA test cases via prompting?// 003How do I prompt AI to plan feature flag rollouts?// 004Can prompts help with codebase migrations?

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Open source · Python