Test-Driven Development
TDD is the red → green loop. This skill is the reference that makes that loop produce tests worth keeping: what a good test is, where tests go, the anti-patterns, and the rules of the loop. Every section applies on every cycle — consult them before and during the loop, not after.
Use relevant CONTEXT.md entries when choosing domain names for tests or interfaces, and consult ADRs when the touched behavior depends on an architectural decision.
Active workflow boundary
This skill supplies test design and the red-green discipline; it never expands the active role's authority. Under a Herdr role contract:
- Planner: agree the public seam and acceptance signal read-only, then put the vertical-slice instructions in a self-contained same-team Coder handoff. Do not write tests or implementation, run state-changing harnesses, or use native sub-agents to bypass Herdr.
- Coder: perform the red-green slices only inside the current Planner handoff. Do not contact Reviewer, delegate, or choose unresolved user-visible behavior.
- Reviewer: inspect test quality and the observed red/green evidence read-only. Do not add tests, edit implementation, or run commands that may mutate the workspace.
Higher-priority sandbox, no-write, no-delegation, and task-scope constraints always win over the loop described below.
What a good test is
Tests verify behavior through public interfaces, not implementation details. Code can change entirely; tests shouldn't. A good test reads like a specification — "user can checkout with valid cart" tells you exactly what capability exists — and survives refactors because it doesn't care about internal structure.
See tests.md for examples and mocking.md for mocking guidelines.
Seams — where tests go
A seam is the public boundary you test at: the interface where you observe behavior without reaching inside. Tests live at seams, never against internals.
Test only at pre-agreed seams. Before writing any test, record the seams under test. An explicit user request or an accepted handoff naming those seams supplies confirmation; do not ask again. If the seam is unresolved, confirm it with the user before writing the dependent tests. This keeps effort on agreed critical paths and complex logic.
Ask: "What's the public interface, and which seams should we test?"
When the shape of that interface is itself in question — how deep the module is, where the seam belongs, what the interface should expose — use the /codebase-design skill for the vocabulary. It is the shared source of the module, interface, depth, seam, adapter, leverage and locality terms, and it is a reference to consult, not a session to run.
Anti-patterns
- Implementation-coupled — mocks internal collaborators, tests private methods, or verifies through a side channel (querying the database instead of using the interface). The tell: the test breaks when you refactor but behavior hasn't changed.
- Tautological — the assertion recomputes the expected value the way the code does (
expect(add(a, b)).toBe(a + b), a snapshot derived by hand the same way, a constant asserted equal to itself), so it passes by construction and can never disagree with the code. Expected values must come from an independent source of truth — a known-good literal, a worked example, the spec. - Horizontal slicing — writing all tests first, then all implementation. Bulk tests verify imagined behavior: you test the shape of things rather than user-facing behavior, the tests go insensitive to real changes, and you commit to test structure before understanding the implementation. Work in vertical slices instead — one test → one implementation → repeat, each test a tracer bullet that responds to what the last cycle taught you.
Rules of the loop
- Red before green. Write the failing test first, then only enough code to pass it. Don't anticipate future tests or add speculative features.
- One slice at a time. One seam, one test, one minimal implementation per cycle.
- Refactoring is not part of the loop. It belongs to the review stage (see the
code-reviewskill), not the red → green implementation cycle.