## Current Status
Last visited: 2026-06-27T17:23:00+09:00
- [x] Initializing orchestrator
- [x] Initial exploration and target analysis
- [x] Setup test suite and baseline coverage checking
- [x] Milestone 1: Improve capa_tools.py test coverage to >= 75%
- [x] Milestone 2: Improve lief_tools.py test coverage to >= 75%
- [x] Milestone 3: Improve adaptive_vaccine.py test coverage to >= 75%
- [x] Milestone 4: Improve memory_tools.py test coverage to >= 75%
- [x] Milestone 5: Improve patch_explainer.py test coverage to >= 75%
- [x] Milestone 6: Verify other tools have >= 60% coverage, and run all tests

## Iteration Status
Current iteration: 32 / 32

## Retrospective Notes
### What Worked
- **Decoupled and Targeted Test Suites**: Isolating test coverage improvements per module worked exceptionally well.
- **Robust Mocking**: Using flexible mocks for external libraries like Keystone, Capstone, and LIEF avoided any complex local binary dependencies and allowed 100% unit test coverage.
- **Verification Loop**: Running independent reviews and forensic audits for each milestone caught edge cases (e.g., nanobind refcount warnings, namespace reloading issues in `test_assembler.py`) before integrating changes.

### Lessons Learned
- **Mocking and Imports**: Direct module reload tests (`importlib.reload`) require careful namespace management so that test assertions utilize the correct reloaded namespace.
- **LIEF Subprocess Isolation**: Mocking LIEF parsed binaries requires a comprehensive mock structure since external tools expect specific properties.

### Process Improvements
- Maintain uniform mock fixtures in `tests/conftest.py` for shared tools/exceptions (e.g., `KsError`, `CsError`).
- Define exact fallback mock behaviors for architecture/mode mappings to facilitate 100% test branch coverage.
