# Review by Andrej Karpathy (Round 2)

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## Review Complete — Andrej Karpathy (Round 2)

**VERDICT: approve**

### Summary

The PR outcome tracking system is a clean, well-scoped V1 of a feedback loop. All 8 functional requirement groups from the PRD are implemented, all 2380 tests pass, and all 9 findings from Round 1 have been resolved.

**What's done right:**
- **Prompt engineering is solid** — `format_outcome_summary` compresses outcome history into ~30-50 tokens with a 2000-char hard cap. The CEO sees a compact signal, not raw SQL rows.
- **Correct feedback loop topology** — data flows from deliver → SQLite → poll → memory capture → CEO prompt injection. Rejection feedback persists as `FAILURE` memories across sessions.
- **Non-blocking everywhere** — every integration point wraps in try/except. Outcome tracking never blocks PR delivery.
- **Security is sound** — parameterized SQL, sanitized untrusted input, length caps, `INSERT OR IGNORE`, SQLite timeout for concurrent access.

**3 non-blocking observations:**
1. Duplicated stats computation between `compute_outcome_stats` and `format_outcome_summary` (cosmetic)
2. No pruning strategy for the `pr_outcomes` table yet (fine for V1 scale)
3. CEO prompt placement of outcomes should be monitored for whether the model actually uses the signal

The real test is production: does the CEO agent actually change its behavior based on outcome data? That's a V2 measurement question. The code is ready to ship.
