OpenAI Publishes 'Codex-Maxxing for Long-Running Work' — A Practitioner Playbook for Codex as a Persistent Agentic Workspace

OpenAI·medium signal

OpenAI's Jason Liu published a June 22 whitepaper on running Codex as a persistent workspace that preserves context and sustains progress across long-horizon projects, rather than treating it as a one-shot code generator. The core method: decompose ambitious goals into discrete, independently verifiable steps, maintain continuity across parallel workstreams, and define explicit boundaries for when to delegate execution versus keep human oversight. It is a rare first-party methodology doc — useful directly as an operating pattern for anyone orchestrating long-running coding agents.