Learn a practical review workflow: what to ask, what to ignore, and how to keep your own judgment in the loop.
Includes practical lessons, exercises, and a clear next step after you enroll.
About this course
Curriculum
Lessons are listed in order. Each one has a goal, a walkthrough, practice, and a short check before you continue.
- 01What AI review is good atNits, missing tests, and “explain this diff” — not architecture sign-off.
- 02Prompts that review a diff, not the whole repoPaste the diff, the standard, and the risk areas.
- 03Security and secrets in the loopNever paste secrets; ask for OWASP-ish checks you then verify.
- 04Tests the model suggestsTurn “add tests” into concrete cases you write.
- 05Style noise versus real defectsFilter comments so authors do not drown.
- 06A team ritualWhen to invoke AI review and how comments get into the PR.
- 07Workshop: a complete pass on a real taskCombine the earlier lessons into one working example you can keep.
- 08Quality bar, common mistakes, and a 30-day planLock in a checklist so the skill survives after the course ends.