OpenAI Codex graduates Goal mode to stable

The graduation of `/goal` marks a shift from experimental "agentic" toys to production-ready autonomous workflows for developers.

• –Persistence is the killer feature here; agents can now grind through complex refactors or migrations over several hours without losing state or context during interruptions.
• –The "Ralph loop" (plan-act-test-review) introduces a verifiable feedback mechanism that reduces the need for human babysitting during long-running tasks.
• –Remote computer use integration allows background agents to maintain progress even when the local workstation is locked or offline.
• –By moving Goal mode into the core ecosystem (CLI, App, IDE), OpenAI is standardizing the "command-line agent" UX across the entire developer lifecycle.
• –This graduation signals that OpenAI's "Appshots" and cloud environments are finally mature enough to handle high-latency, multi-step operations reliably.