How OpenAI is using GPT-5 Codex to enhance the AI tool itself

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Ed Bayes, a designer on the Codex team, described how the tool has modified his own workflow. Bayes said Codex now integrates with project management tools like Linear and communication platforms like Slack, allowing team members to assign coding tasks on to the AI agent. “You may add Codex, and you may mainly assign issues to Codex now,” Bayes told Ars. “Codex is literally a teammate in your workspace.”

This integration signifies that when someone posts feedback in a Slack channel, they will tag Codex and ask it to repair the problem. The agent will create a pull request, and team members can review and iterate on the changes through the identical thread. “It’s mainly approximating this sort of coworker and showing up wherever you’re employed,” Bayes said.

For Bayes, who works on the visual design and interaction patterns for Codex’s interfaces, the tool has enabled him to contribute code directly reasonably than handing off specifications to engineers. “It form of gives you more leverage. It allows you to work across the stack and mainly give you the chance to do more things,” he said. He noted that designers at OpenAI now prototype features by constructing them directly, using Codex to handle the implementation details.

The command line version of OpenAI codex running in a macOS terminal window.

The command line version of OpenAI codex running in a macOS terminal window.


Credit:

Benj Edwards

OpenAI’s approach treats Codex as what Bayes called “a junior developer” that the corporate hopes will graduate right into a senior developer over time. “In case you were onboarding a junior developer, how would you onboard them? You give them a Slack account, you give them a Linear account,” Bayes said. “It’s not only this tool that you simply go to within the terminal, but it surely’s something that involves you as well and sits inside your team.”

Given this teammate approach, will there be anything left for humans to do? When asked, Embiricos drew a distinction between “vibe coding,” where developers accept AI-generated code without close review, and what AI researcher Simon Willison calls “vibe engineering,” where humans stay within the loop. “We see lots more vibe engineering in our code base,” he said. “You ask Codex to work on that, perhaps you even ask for a plan first. Go backwards and forwards, iterate on the plan, and you then’re within the loop with the model and punctiliously reviewing its code.”



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