/implement
Make failing tests pass with minimal code.
Usage
code
/implement
The implementer will automatically find failing tests from the most recent /write-tests run.
When to Use
- •After
/write-testshas created failing tests - •When you have specific tests that need implementation
- •Never before tests exist
When NOT to Use
- •No failing tests exist (run
/write-testsfirst) - •You want to add features not covered by tests
- •You want to refactor (use
/simplifyinstead)
What It Does
- •Finds the failing tests from
/write-tests - •Reads tests to understand requirements
- •Writes the minimum code to make tests pass
- •Runs tests after each change
- •Stops when ALL tests pass
Output
The implementer agent will produce:
markdown
## Implementation Complete ### Tests Passed - `test_client_reset_returns_observation` ✓ - `test_client_step_advances_state` ✓ - `test_client_handles_invalid_action` ✓ ### Changes Made | File | Change | |------|--------| | `src/openenv/core/client.py` | Added `reset()` method | | `src/openenv/core/client.py` | Added `step()` method | | `src/openenv/core/client.py` | Added input validation | ### Verification
PYTHONPATH=src:envs uv run pytest tests/test_client.py -v All 3 tests passed
code
### Next Steps - Mark todo as complete - Consider `/simplify` if change was large - Move to next pending todo
Rules
- •Read the failing tests first to understand exactly what's needed
- •Write the MINIMUM code needed to pass tests
- •Run tests after each change to verify progress
- •Do NOT add extra features not covered by tests
- •Do NOT refactor existing code (that's
/simplify's job) - •Stop when all tests pass
Anti-patterns (NEVER do these)
- •Adding features not covered by tests
- •Refactoring existing code
- •Writing additional tests (that's
/write-tests's job) - •Over-engineering solutions
- •Adding comments or documentation beyond what's necessary
- •"Improving" code that already works
Completion Criteria
Before returning, verify:
- •ALL tests pass
- •No new test failures introduced
- •Implementation is minimal and focused
Philosophy
The implementer is a "code machine" - it takes test specifications and produces the minimal code to satisfy them. This keeps implementations focused and prevents scope creep.
Think of it as TDD's second phase: Red → Green → Refactor. You are "Green" - make tests pass, nothing more.