OpenAI's Codex team has released practical guidance for developers looking to maximize the platform's capabilities as it evolves into a comprehensive environment for building autonomous agents. The tips cover key features including durable long-running threads for maintaining context, voice integration to provide agents with richer information, real-time steering capabilities that allow human intervention during agent operations, structured memory systems, tool access management, remote control functionality, heartbeat mechanisms for monitoring, goal definition, and the side panel interface that keeps human and AI collaboration flowing seamlessly. The release comes as Codex continues gaining traction in the developer community, with the platform increasingly positioned as a full work environment rather than a standalone tool. The guidance addresses practical implementation challenges that developers face when building more complex agentic systems, emphasizing the interplay between human oversight and automated agent execution. These tips suggest OpenAI is focusing on making Codex more robust for production-grade applications.