- Rewrite autopilot flow resolution to 4 deterministic rules based on source code + docs + state file presence
- Replace all hard-coded Jira references with tracker-agnostic terminology across 30+ files
- Move project-management.mdc to _project.md (project-specific, not portable with .cursor)
- Rename FINAL_implementation_report.md to context-dependent names (implementation_report_tests/features/refactor)
- Remove "acknowledged tech debt" option from test-run — failing tests must be fixed or removed
- Add debug/error recovery protocol to protocols.md
- Align directory paths: metrics -> 06_metrics/, add 05_security/, reviews/, 02_task_plans/ to README
- Add missing skills (test-spec, test-run, new-task, ui-design) to README
- Use language-appropriate comment syntax for Arrange/Act/Assert in coderule + testing rules
- Copy updated coderule.mdc to parent suite/.cursor/rules/
- Raise max task complexity from 5 to 8 points in decompose
- Skip test-spec Phase 4 (script generation) during planning context
- Document per-batch vs post-implement test run as intentional
- Add skill-internal state cross-check rule to state.md
- Changed the directory structure for task specifications to include a dedicated `todo/` folder within `_docs/02_tasks/` for tasks ready for implementation.
- Updated references in various skills and documentation to reflect the new task lifecycle, including changes in the `implementer` and `decompose` skills.
- Enhanced the README and flow documentation to clarify the new task organization and its implications for the implementation process.
These updates improve task management clarity and streamline the implementation workflow.
- Modified `.gitignore` to reflect the new path for test results.
- Updated `docker-compose.test.yml` to mount the correct test results directory.
- Adjusted `Dockerfile.test` to set the `PYTHONPATH` and ensure test results are saved in the updated location.
- Added `boto3` and `netron` to `requirements-test.txt` to support new functionalities.
- Updated `pytest.ini` to include the new `pythonpath` for test discovery.
These changes streamline the testing process and ensure compatibility with the updated directory structure.
- Replaced module-level path variables in constants.py with a structured Pydantic Config class.
- Updated all relevant modules (train.py, augmentation.py, exports.py, dataset-visualiser.py, manual_run.py) to access paths through the new config structure.
- Fixed bugs related to image processing and model saving.
- Enhanced test infrastructure to accommodate the new configuration approach.
This refactor improves code maintainability and clarity by centralizing configuration management.
Oleksandr Bezdieniezhnykh