- Repo root: /home/graham/workspace/experiments/codex
- Date: 2025-09-28
Readiness: ✅ Top risks are low and localized to config and CLI glue.
Goal: Deliver a blunt, evidence‑backed production‑readiness assessment and a minimal patch set (unified diffs) with tests and doc updates. No broad refactors. Ship safety first.
Reviewer persona & tone
Project context (declare at top of your report)
Goal
Reviewer profile & tone
Project anchors
| # Project Bundle | |
| - Generated: 2025-09-27T17:43:50Z | |
| - Root: /home/graham/workspace/experiments/codex | |
| - Git: 5c67dc3+dirty | |
| - Files: 205 | |
| - Bundle Part: 1 | |
| - Context Tokens Limit: 400000 | |
| --- |
All‑Smokes Gate Still Timing Out/Fails in Split — Targeted Debug + Patch Requests Created: 2025-09-27 TTL: Private, delete within 15 minutes after review
Summary
Mini‑Agent + Router Readiness — All‑Smokes Orchestration Timeout (Request for Focused Help) Created: 2025-09-27 TTL: Please treat as private and ephemeral; delete within 15 minutes after review.
Context: CodeWorld is a prompt‑driven, multi‑variant orchestrator for agentic code generation. It emits per‑instance prompts, autostarts a tiny FastAPI ingest backend, runs agents (or a local fallback), and aggregates a reproducible scorecard. Observability flows to ArangoDB with a thin proto dashboard. Memory hooks integrate a Graph Memory service for recall and timeline context.
Inspiration: CWM: An Open‑Weights LLM for Research on Code Generation with World Models (Meta AI, Sept 24, 2025). Local copy: docs/papers/CWM_ An Open-Weights LLM for Research on Code Generation with World Models _ Research - AI at Meta.md. Our aim is to explore world‑model style signals for agentic coding by capturing observation→action episodes during runs and enabling recall‑driven guidance.
Objective: Harden the orchestrator for research‑grade iteration while keeping it thin and deterministic by default. We want principled process lifecycle, secure defaults,
Goal: Deliver a blunt, evidence‑backed production‑readiness assessment of the Extractor project and a minimal patch set (unified diffs) with tests and doc updates. Keep changes surgical. Ship safety first.
Reviewer persona & tone
Project context (declare at top of your report)
| # ====================================== | |
| # CORE | |
| # ====================================== | |
| model = "gpt-5" | |
| model_reasoning_effort = "high" | |
| # Disable all sandboxing (no filesystem/network restrictions) | |
| sandbox_mode = "danger-full-access" | |
| # Never prompt for approvals (Codex will run commands directly) |