MICRO-COURSE

Turn a Feature Request into an AI Coding Brief

An implementation brief with tests. The brief defines success, non-goals and checks before code is generated.

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01 / WATCH

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02 / UNDERSTAND

Start with the topic guide.

An implementation brief with tests

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

Clarify acceptance criteria

Turn a vague request into a bounded feature scope

Evidence: t013/m01/evidence

Bound the change

List repository context and files the agent may change

Evidence: t013/m02/evidence

Supply repository context

Write positive and negative acceptance conditions

Evidence: t013/m03/evidence

Specify verification steps

Produce a coding brief with a human review checkpoint

Evidence: t013/m04/evidence

03 / TRY IT

Apply the micro-course

Demonstrate the promised artifact
Change one supplied assumption or remove one required input for an implementation brief with tests; identify the limitation rather than inventing success.
Independently explain and change one assumption in an implementation brief with tests.

Keep your work

The brief defines success, non-goals and checks before code is generated.; 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

The brief defines success, non-goals and checks before code is generated.
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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