---
docType: review
layer: project
reviewType: tasks
slice: pipeline-state-and-resume
project: squadron
verdict: CONCERNS
sourceDocument: project-documents/user/tasks/150-tasks.pipeline-state-and-resume.md
aiModel: z-ai/glm-5
status: complete
dateCreated: 20260403
dateUpdated: 20260403
---

# Review: tasks — slice 150

**Verdict:** CONCERNS
**Model:** z-ai/glm-5

## Findings

### [CONCERN] Missing test for atomic write behavior

Success criterion #10 in the slice design states: "Atomic writes: interrupted writes do not corrupt the existing state file." The Technical Requirements section explicitly lists tests that must cover "atomic write behavior." T4 implements the `_write_atomic` helper with write-then-rename logic, but no test task verifies this behavior works correctly—specifically, that a partially-completed write leaves the original file intact. This gap leaves a functional requirement unverified.

**Recommendation:** Add a test task (e.g., between T4 and T6) that verifies atomic write behavior, such as:
- Simulating an interrupted write (partial file at `.tmp` path)
- Verifying the original state file remains uncorrupted
- Verifying the rename completes the atomic swap

### [PASS] Task sequencing follows correct dependencies

Tasks are ordered logically: fixtures (T1) → Pydantic models (T2-T3) → init_write capabilities (T4-T6) → step callback (T7-T8) → finalize (T9-T10) → load operations (T11-T16) → query/management operations (T17-T22) → integration tests (T23-T24) → wiring and closeout (T25-T26). No circular dependencies exist; each task builds on previously completed work.

### [PASS] Test-with pattern correctly applied

Every implementation task has a corresponding test task immediately following it:
- T2 → T3 (models)
- T4-T5 → T6 (init_run)
- T7 → T8 (callback)
- T9 → T10 (finalize)
- T11 → T12 (load)
- T13 → T14 (load_prior_outputs)
- T15 → T16 (first_unfinished_step)
- T17 → T18 (list_runs)
- T19 → T20 (find_matching_run)
- T21 → T22 (prune)

### [PASS] Commit checkpoints well-distributed

Five commit checkpoints are distributed throughout the task list rather than batched at the end:
1. After T10 (models, init, callback, finalize)
2. After T22 (load, query operations)
3. After T24 (integration tests)
4. After T25 (exports, lint)
5. After T26 (closeout)

### [PASS] All success criteria traced to tasks with one exception

All 10 functional requirements from the slice design have corresponding implementation tasks, and all integration requirements have corresponding integration test tasks (T23, T24). The only gap is the atomic write test noted above.

### [PASS] Tasks appropriately scoped

Each task is sized appropriately for a junior AI to complete independently. Pydantic model definitions (T2) and callback implementation (T7) are the largest tasks but remain cohesive single responsibilities. No task requires splitting or merging.
