OpenAI Codex
Having the same model write and review its own pull requests misses model-specific blind spots, and single-threaded sessions slow down multi-page website launches.
Shipped parallel `codex/*` branches (including merged PR #4 on a print and signage company’s site and PR #56 on a members’ dinner club’s site) and evaluated the temporary contact-form sender architecture during launch.
Logged 3,254 indexed sessions across our stack since 2026-07-24: 1,302 automated `exec` runs, 660 subagent runs, 110 `guardian-review` runs, and 90 interactive sessions.
$200/month on ChatGPT Pro (or $20/month Plus) plus metered OpenAI API usage for automated headless `codex exec` and review runs (as of 2026-10-22).
Configured via `~/.codex/config.toml` reading the same repository `AGENTS.md` instructions as Claude Code; runs either on isolated `codex/*` branches or as an automated `guardian-review` / `codex exec` worker checking diffs before merge.
Unbounded headless `exec` loops can burn through API rate limits if a test gate hangs, and on our own `moHelp` voice-and-camera repair guide we had to restrict live edits to Codex-only during quota windows—so every automated loop now runs with a lockfile, a pass cap, and a 429 cooldown.
Compared against running a second Claude Code session as reviewer or delegating to Kimi, ZCode (GLM), or local Ollama (`qwen3.8:27b`). We picked OpenAI Codex as our primary second agent because cross-checking Anthropic code with an OpenAI reasoning model catches edge cases that same-model review misses.
