OpenAI Codex

Pros

• This is how I code in codex. Write out a spec draft with everything that I know of the top of head. Them I tell it to find gaps and ask me questions about them until it is not able to find any more. After that I tell it to code it.
• Small team here (~12 engineers), and at this point a big chunk of our code is written with AI agents — mostly Claude Code and Codex.
• Convert the attached plan into one detailed, correctly sequenced Codex execution prompt. The prompt must instruct Codex to: - Inspect current evidence before editing. - Establish the exact starting state. - Preserve verified completed...
• CODEX is a harness, GPT is AI. ... The harness is a VERY big deal, and probably has way way way greater influence on the success of the overall AI use than the prompt
• Codex has a similar open source program

Cons

• Codex's default effort is low and at that setting it just nods along, so I run review at xhigh and treat high as the floor. Cheap out on the worker and it stops raising its hand, same as their numbers.
• This helps resolve a common issue with codex/chat where you ask it to do [big thing] and it ends up doing [bad version of big thing] because you're asking for too much in one go.
• The result showed structural features — anti-trigger explicitness, risk profile taxonomy, archetype routing, cross-link validation — that the three established skill-creators I compared against (Codex, Antigravity, Claude Code) either do...
• I found that the code gets super messy when keeping Codex just doing its thing. So my only real guard against it now is always posting review prompts