# Refactor Implementation Progress
This document summarizes the implementation progress for the "Deterministic Agent Change Pipeline" refactor plan and provides a short TODO checklist for remaining tasks.
## Completed (✅)
- ✅ Phase 1: Implemented a single `request_change` tool that accepts a `summary` and `diff` (unidiff).
- ✅ Basic Phase 2 validations: summary word-count, character allowlist, redundancy check, causal-language requirement, diff hunk detection, size limits, null-byte detection, and single-file scope enforcement.
- ✅ Classification (Phase 3 initial): basic per-diff classification into CREATE/EDIT/DELETE/RENAME for single-file diffs.
- ✅ Artifact creation: writes `meta.json`, `intent.json`, and `diff.patch` to `~/.domin8/agent_data/<path>/artifacts/<uuid>/` and integrates with the existing interactive approval flow.
- ✅ Unit tests covering validation failures and successful artifact creation.
- ✅ Removed legacy specialized tools and consolidated behavior into the single `request_change` tool (code, tests, and docs updated).
## In progress / Next steps (TODO)
1. [ ] Phase 2: Expand deterministic validation rules
- [x] Enforce character allowlist policy configurable per repo
- [x] Add redundancy/repetition detection improvements (n-gram checks)
- ✅ Add path allowlists/denylists and reject generated or binary files more robustly (implemented repository-level `config/request_change.json` or `request_change.toml`, default deny patterns for common binary/generated artifacts, and unit tests)
2. [ ] Phase 3: Diff intelligence and change classification
- [x] Multi-file diffs support with normalized internal representation (implemented: per-file splitting, classification utilities, and `normalize_diff` producing `FileChange` objects)
- [x] Blast radius heuristics (implemented: file-type/action/hunk-weighted scoring and language-aware dependency fan-out)
- [x] API surface impact analysis (implemented: symbol-level heuristics for Python detecting added/removed/modified public symbols)
3. [x] Phase 4: Pre-approval enforcement pipeline
- [x] Integrate formatters, linters, and policy checks dynamically based on classification (initial implementation added `pre_approval_checks`)
- [x] Normalize diffs and re-validate post-formatting (formatters applied in isolated workspace and normalized diffs validated)
4. [x] Phase 5: Human review gate (programmatic gating and approval pipeline implemented; emits deterministic artifacts for reviewers)
5. [x] Phase 6–9: Post-approval execution, commit synthesis, archival and indexing, and hardening (implemented: apply diffs, run checks/tests, commit, index, sign/verify artifacts)
## Notes
- Implementation intentionally restricts scope (single-file diffs, size limits) to provide deterministic, machine-friendly feedback in early phases and to make review and iteration straightforward.
- Unit tests were added to `tests/unit/test_request_change.py`. All tests pass locally.
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Recent changes:
- Implemented repository-level `request_change` configuration (`config/request_change.json` or `request_change.toml`) and enforcement logic in `src/domin8/config.py` and `src/domin8/tools/request_change.py`.
- Added unit tests (`tests/unit/test_request_change_paths.py`) and documentation (`docs/request_change_config.md`).
- All tests pass locally (98 total) and CI-compatible.
