# Review by Andrej Karpathy (Round 1)

Here's my review as Andrej Karpathy:

---

## Review Summary

**VERDICT: approve**

This is a clean, well-scoped implementation. 214 lines of Python API code, ~700 lines of meaningful TypeScript, 17 new tests, and all 936 existing tests pass. The key architectural insight — wrapping existing data-layer functions (`load_run_logs`, `compute_stats`, `compute_show_result`, `load_config`) with thin HTTP endpoints — is exactly right.

### Key Findings (minor, non-blocking):

1. **SPA catch-all path traversal** (`server.py:205-212`): The custom `serve_spa` handler resolves paths against `web_dist/` without checking containment. Should add `is_relative_to()` guard even though it's localhost-only.

2. **Fragile serialization** (`server.py:35-101`): Three manual `_*_to_dict()` helpers hand-enumerate every dataclass field. If upstream dataclasses gain fields, these silently drop them. The PRD says to use existing `to_dict()` methods — the implementation should follow that.

3. **RunDetail polling pattern** (`RunDetail.tsx:33-34`): `useEffect` with `data?.header.status` in deps recreates the interval on every data change. Works accidentally but is a footgun.

4. **Type duplication** (`types.ts`): 206 lines mirroring Python dataclasses with no sync mechanism. Acceptable for V1, but will drift.

5. **Missing CLI unit tests**: The `ui` command in `cli.py` has no corresponding tests in `test_cli.py` despite the task being marked complete.

All issues are minor. The scope discipline is impressive, the test coverage is solid, and the feature adds genuine value for cost visibility and run auditing during long queue runs.