Our Take
OpenAI just dropped Codex Subagents—a tool that lets developers run multiple custom agents in parallel to handle complex, multi-step tasks. Think of it as having a team of specialized AI workers that can all get things done simultaneously instead of one after another. It's built into Codex, OpenAI's developer platform for building with their models.
The team behind this includes Sviatoslav Dvoretskii, Zac Zuo, Srivatsa Mudumby, Yu Pan, Soumya Bach, Thibault Sottiaux, Andrew Ambrosino, and Alexander Embiricos—engineers working within OpenAI's broader developer tools division. Not much public info on what specifically they built or what metrics this feature's hitting, but given that OpenAI has raised over $14 billion and is valued at around $157 billion, anything they ship moves the industry.
This is OpenAI doubling down on making their platform the go-to for developers building real AI products. Subagents solve one of the biggest pain points in AI app development: coordinating multiple AI workflows without everything becoming a bottleneck. If you're building AI-powered tools and want parallel execution built into your stack, this is worth a look.
Key Facts
The people behind Codex Subagents
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