Drives implementation by writing a failing test first, then the smallest code that passes it. Use this before writing implementation code for any feature or bugfix, when a bug needs a regression test, when existing code is hard to change safely, or when someone asks whether a change is covered. Also use to decide what is worth testing and what is not.
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What the file says
# Test-driven development
## The loop
1. **Red** — write one test that fails for the right reason. Run it. A test that passes immediately
is testing nothing; a test that errors instead of failing is testing the wrong thing.
2. **Green** — the smallest change that makes it pass. Ugly is fine here.
3. **Refactor** — clean up with the test green. If it goes red, you changed behavior, not structure.
Never skip step 1. Writing the test after the code produces a test shaped to the implementation,
which is the one shape that cannot catch the implementation being wrong.
## What to test
Test behavior at the boundary a caller actually depends on. For each unit ask: if this broke
silently, who notices and how? If the answer is nobody, delete the code rather than test it.
- **Test**: branching logic, boundary conditions, error paths, anything with a past bug, contracts
between modules.
- **Do not test**: getters, framework behavior, private helpers reachable only through a public path
already covered, exact wording of log lines.
## Bugs
Every bug gets a failing test *before* the fix, reproducing it at the smallest scope that shows it.
…
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Source
GitHub
cbrock84/headcount · 2,076 stars · license MIT · pushed 2026-10-18 · branch main
API
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