Unusually detailed post explains how OpenAI handles the Codex agent loop.

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OpenAI published a detailed technical breakdown of its Codex CLI coding agent, explaining how the agentic loop works internally. The post covers engineering challenges like quadratic prompt growth, cache misses, and bugs in MCP tools. While AI coding agents like Codex and Claude Code have reached new levels of usefulness for prototyping and boilerplate generation, they remain brittle beyond their training data and require human oversight for production work.

OpenAI spills technical details about how its AI coding agent works

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