Lesson 1219 of 1596
AI coding: the test-first loop that makes review trivial
Ask the AI for failing tests first, approve them, then ask for the implementation. Review collapses to reading two diffs.
Creators · AI-Assisted Coding · ~7 min read
The premise
Generating tests before implementation forces the AI to commit to a contract you can read in plain English. Once tests pass, the implementation is constrained and review becomes mechanical.
What AI does well here
- Generate readable test cases from a behavior description
- Iterate on implementation until provided tests pass
- Surface ambiguities as test names you can question
What AI cannot do
- Invent meaningful tests for behavior you never described
- Catch missing test categories you didn't request
- Decide whether the test list is complete enough to ship
Key terms in this lesson
End-of-lesson quiz
Check what stuck
10 questions · Score saves to your progress.
Tutor
Curious about “AI coding: the test-first loop that makes review trivial”?
Ask anything about this lesson. I’ll answer using just what you’re reading — short, friendly, grounded.
Progress saved locally in this browser. Sign in to sync across devices.
Related lessons
Keep going
Creators · 40 min
Agents vs. Autocomplete — the Mental Model Shift
Autocomplete is a suggestion. An agent is an actor. The mental model you bring to each is different, and conflating them is the number-one reason teams trip over AI coding.
Creators · 50 min
Test-Driven AI Development
TDD was already the gold standard. Paired with an agent, it becomes the tightest feedback loop in software. Here's the full workflow and the pitfalls.
Creators · 50 min
Vector DB Basics With pgvector
Store embeddings, search by similarity. The foundation of every RAG system. Postgres plus pgvector gets you there.
