The video introduces recent updates to the Codex CLI, including the new Codex Mini model optimized for low latency and improved instruction-following, which enhances code answering and editing tasks. Researchers demonstrate how the CLI can explore codebases, review past sessions, and streamline development workflows, emphasizing its potential to shift human roles toward higher-level planning and verification.
The video features researchers Fouad, Anup, and Hungwan from OpenAI’s agents team, who introduce recent updates to the Codex CLI and a new model called Codex Mini. Fouad demonstrates how to sign into Codex CLI using an API key and highlights that the new Codex Mini model, a fine-tuned version optimized for low latency, enhances code question answering and editing tasks. The model also shows improved instruction-following capabilities, making it more effective for developers working with codebases.
Hungwan explains his primary use case for the Codex CLI, which is asking questions about a codebase to better understand it. He demonstrates how the model can explore the code faster than a human can read, helping him formulate clearer tasks and understand complex problems more efficiently. This showcases the CLI’s utility in navigating and analyzing large or unfamiliar codebases through natural language queries, streamlining the development and debugging process.
The team then discusses a new feature that many users have requested: the ability to view and resume past sessions within Codex. They demonstrate a previous session where the model made several code changes and even created a pull request. Hungwan pulls down the session, runs the CLI, and reviews the model’s work, noting minor tweaks needed, such as formatting issues. He then instructs the model to make these adjustments, illustrating how users can interactively review and refine the model’s output.
Fouad summarizes the workflow, emphasizing that as AI coding agents become more capable, the human role shifts toward task planning, delegation, and verification of the model’s work. The Codex Mini model is specifically tuned to support these tasks, making the process more efficient and manageable. The team highlights that this approach allows developers to focus on higher-level problem solving while the model handles routine coding and editing tasks.
Finally, the researchers express their enthusiasm for the ongoing development and daily use of Codex CLI in their workflows. They demonstrate how the tool is integrated into their routine for asking questions, exploring code, and managing tasks. They invite the audience to experiment with these new features and improvements, expressing excitement about the potential for others to build on this technology. The video concludes with a call to action, encouraging viewers to leverage these updates to enhance their coding and development processes.