In this video, we delve into OpenAI’s latest release, Codex, a cloud-based software engineering agent designed for various coding tasks. Unlike tools like Cursor or Windsurf, Codex integrates with GitHub, allowing natural language interactions for tasks like writing features, fixing bugs, and proposing pull requests. Powered by Codex One, derived from OpenAI’s most powerful model, it is optimized for software engineering through reinforcement learning on real-world coding tasks. The video also covers practical usage, such as task assignment, environment handling, and task completion. Codex can commit changes, provide verifiable logs, and even open pull requests directly. It is initially available to ChatGPT Pro members, enterprise, and team users, with support for additional user groups coming soon. Join us as we explore the capabilities and practical applications of Codex in modern software development.
00:00 Introduction to Codex
00:15 Overview of Codex Features
00:22 How Codex Integrates with GitHub
00:41 Codex’s AI Model and Training
01:08 Access and Availability
01:18 Practical Examples and Use Cases
01:32 Task Completion and Environment
02:22 Commit and Verification Process
03:21 Guiding Codex with Agent’s MD
03:53 Performance Benchmarks
04:20 Final Thoughts and Accessibility
04:43 Conclusion and Viewer Engagement
