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OpenAI Codex Team: From Coding Autocomplete to Asynchronous Autonomous Agents
Sequoia Capital· 2025-06-10 09:00
OpenAI Codex Overview - OpenAI's Codex team is developing AI coding tools to help developers delegate tasks to cloud and local coding agents, evolving from autocomplete to autonomous task completion [3] - Codex is RL tuned to be great at day-to-day enterprise development tasks, differing from previous models excelling in competitive programming [4] - Codex is envisioned as an agent working independently on its own computer, allowing developers to delegate tasks rather than pair with the AI [13] - Codex CLI allows developers to work with Codex in their terminal, while Codex in ChatGPT operates on its own computer [16][17] Model Training and Capabilities - Training efforts focused on aligning the model to the preferences of professional software engineers, improving code mergeability [20] - Codex excels at bug fixing by independently verifying and reproducing issues, often providing usable fixes [22][23] - The model can cite its own work, including files changed and terminal outputs, facilitating easier review [34] - Codex can generate its own plans, which helps to specify everything up front [60] Future of Software Development - OpenAI envisions a future where most coding is done by agents working independently, shifting the focus to reviewing and validating code [28][38] - The company aims to create a unified assistant within ChatGPT that can handle various tasks, including coding, without requiring separate agents [70] - The market is expected to shift towards agents writing the majority of code in their own environments, connected to the tools developers use [75][76] - OpenAI believes the number of professional software developers will increase as coding becomes easier [46][47]