# Review by Linus Torvalds (Round 1)

Now I have enough to write a thorough review. Let me write my verdict.

---

## Review as Linus Torvalds

Alright, let me cut through the bullshit here and tell you what I see.

### The Good

First, the data structures are clean. The `TaskDAG` class in `dag.py` is doing the right thing - using a simple dictionary representation of dependencies and computing the reverse mapping in `__post_init__`. The cycle detection with DFS coloring (WHITE/GRAY/BLACK) is the standard textbook approach, not clever, just correct. That's exactly what I want to see.

The `WorktreeManager` in `worktree.py` has proper path traversal validation - they're checking for `..`, `/`, `\` in task IDs before building filesystem paths. Good. Security isn't an afterthought here.

Tests are comprehensive - 243 tests covering the new code, all passing. The test coverage for edge cases in DAG parsing (empty files, whitespace, already-completed tasks) shows attention to real-world inputs.

### The Bad

**The parallel orchestrator is completely disconnected from the actual system.** Look at this:

```
git diff main...HEAD -- src/colonyos/orchestrator.py
```

*Nothing*. Zero. They've written a beautiful standalone `parallel_orchestrator.py` with ~376 lines of coordination logic that **no code actually calls**. It's like building an engine and leaving it in the garage.

The PRD (FR-6, FR-7) specifies:
- Task 6.4: "Add `_run_parallel_implement()` function to `orchestrator.py`"
- Task 6.6: "Integrate `_run_parallel_implement()` into main `_run_pipeline()` flow"

Neither happened. The `ParallelOrchestrator` class exists in isolation. There's no entry point from the main pipeline.

**The budget allocation system (FR-7) is not implemented.** The PRD specifies:
- "Each parallel agent receives a budget of `budget.per_phase / max_parallel_agents`"
- "Enforce budgets strictly per-agent"
- "Track actual per-agent costs in `PhaseResult.artifacts` with `task_id` annotation"

Looking at `parallel_orchestrator.py`, the `agent_runner` callback takes `(task_id, worktree_path, task_description)` but there's no budget parameter, no budget tracking, no enforcement.

**The asyncio merge lock (FR-5) with timeout is missing.** The PRD requires:
- "Orchestrator acquires an in-memory asyncio lock (60-second timeout for deadlock prevention)"
- "Lock acquisition MUST log timestamps for audit trails"

The `merge_worktrees()` method is synchronous, has no lock, and doesn't use `asyncio.wait_for()` with the configured `merge_timeout_seconds`. The config parameter exists but isn't used.

**The conflict resolver is an instruction template only.** `conflict_resolve.md` exists, but there's no `_spawn_conflict_resolver()` function. When `merge_worktrees()` detects conflicts, it just... logs them and returns. It doesn't actually spawn the conflict resolution agent.

**The `--resume` integration for parallel mode isn't wired.** Task 10.0 specifies updating `prepare_resume()` to identify failed/blocked tasks. Searching the code, `prepare_resume()` exists in the codebase, but the parallel orchestrator doesn't interact with it.

### The Ugly

The `conflict_strategy` config option accepts "manual" but nowhere in the code is this handled. What happens when a user sets `conflict_strategy: manual`? The PRD explicitly calls this out as an **open question** that needed spec before implementation - and they went ahead and accepted the value without defining behavior.

The subtasks in the task file are all marked incomplete (`- [ ]`) while the parent tasks are all marked complete (`- [x]`). This suggests the implementation was checked as "done" without actually completing the detailed subtasks. Task 13.0 (Integration testing and documentation) is marked complete but there's no end-to-end test, no README update, no architecture diagram.

### Summary

What we have is a well-structured set of building blocks:
- ✓ Clean DAG implementation
- ✓ Proper worktree management
- ✓ Good config parsing
- ✓ UI prefix system
- ✓ Stats integration

What we don't have is a working feature. The parallel orchestrator is an island with no bridges to the mainland.

---

VERDICT: request-changes

FINDINGS:
- [src/colonyos/orchestrator.py]: No integration with parallel_orchestrator.py - the main pipeline never calls the parallel implementation
- [src/colonyos/parallel_orchestrator.py]: Missing asyncio merge lock with timeout (FR-5) - merge_worktrees() is synchronous without locking
- [src/colonyos/parallel_orchestrator.py]: No budget allocation/enforcement (FR-7) - agent_runner callback ignores budget constraints
- [src/colonyos/parallel_orchestrator.py]: No conflict resolution agent spawning (FR-6) - conflicts are detected but not resolved
- [src/colonyos/parallel_orchestrator.py]: conflict_strategy config option is parsed but behavior for "manual" undefined and unused
- [cOS_tasks/...]: All parent tasks marked [x] complete but subtasks marked [ ] incomplete - misleading status
- [README.md]: No documentation updates for parallel_implement configuration (Task 13.4)
- [tests/]: Missing end-to-end integration tests (Tasks 13.1-13.3) - only unit tests exist

SYNTHESIS:
This implementation has solid foundations - the data structures are correct, the tests are thorough for what they cover, and the code style is consistent. But it's architecture astronautics without the final mile. You've built beautiful, isolated components that don't connect to anything. The `ParallelOrchestrator` class has no caller from the main pipeline. The merge lock doesn't exist. The budget system isn't enforced. The conflict resolver never runs. It's like shipping a car without connecting the steering wheel to the wheels. Show me the integration, show me the actual flow from `colonyos run` to parallel execution, and then we can talk about merging this. Until then, it's a collection of promising library code sitting unused.