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MICRO-COURSE

Verify AI-Generated Code Before You Trust It

A reviewed patch with test evidence. Identify an injected defect and show a failing then passing test.

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RECORDED WALKTHROUGHVerify AI-Generated Code Before You Trust ItNo recording published yet
01 / WATCH

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02 / UNDERSTAND

Start with the topic guide.

A reviewed patch with test evidence

This is a learning outline. A complete worked tutorial has not been published for this topic yet.

01

Read the requested change

Write acceptance tests for a supplied price-calculation change

Evidence: t002/m01/evidence

02

Inspect the generated diff

Annotate the generated diff for rounding and validation errors

Evidence: t002/m02/evidence

03

Run meaningful tests

Show one failing test before the fix and the same passing test after

Evidence: t002/m03/evidence

04

Explain remaining risks

Submit the corrected patch and explain the remaining limitation

Evidence: t002/m04/evidence

03 / TRY IT

Apply the micro-course

  1. Demonstrate the promised artifact
  2. Show one failing test before the fix and the same passing test after
  3. Independently explain and change one assumption in a reviewed patch with test evidence.
Keep your work

Identify an injected defect and show a failing then passing test.; The documented failure/uncertainty is visible, and no prohibited action or unsupported success claim occurs.; The learner predicts and verifies the change; AI output is not accepted without understanding.

Check your understanding

  • Identify an injected defect and show a failing then passing test.
  • Show one small example, the expected result and the reasoning behind it.
  • Record one limitation or edge case and a question to discuss with a mentor.
04 / LEARN WITH HELP

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