Run long horizon tasks with Codex
Blog post from OpenAI
OpenAI's GPT-5-Codex, introduced in 2025, marks a significant advancement in autonomous coding capabilities, emphasizing long-horizon tasks rather than one-shot intelligence. The launch of version 5.2 demonstrated the model's reliability in following instructions over extended periods, while the subsequent 5.3 version improved multi-step execution and error recovery. An experiment tasked Codex with building a design tool, showcasing its ability to handle complex, sustained coding tasks by maintaining coherence, verifying progress, and repairing errors. This shift towards agentic coding involves structured loops that allow Codex to plan, execute, and verify tasks effectively, highlighting the importance of durable project memory and continuous verification. By integrating robust feedback mechanisms and structured context, Codex is evolving from a tool requiring constant oversight to a reliable, autonomous teammate capable of handling significant portions of development work, potentially benefiting both developers and non-developers in the future.
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