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OpenAI just launched Codex, a brand-new autonomous coding agent that can build features and fix bugs on its own. We’ve been using it @every for a few days, and I’m impressed.
I invited Alexander Embiricos (@embiricos), a member of the product staff responsible for Codex, to demo Codex and talk about it live on a special edition of AI & I:
What Codex is and how it works
Codex is designed to be used by senior engineers—it performs coding tasks like adding features or fixing bugs autonomously. It's built to allow you to start many sessions at once, so you can have multiple agents working in parallel.
Codex is built to have "taste"
OpenAI trained Codex to have the taste of a senior software engineer. It knows how big codebases work, how to write a good PR, and uses clean, minimal code.
Why an “abundance mindset” is best for interacting with agents
Codex is designed to allow users to delegate many tasks at once without getting caught up in the details. This lets you point an abundance of agents at a specific task like a difficult bug—it’s worth it even if only one of them succeeds.
How OpenAI is thinking about agents
Codex is one piece of a unified super-assistant OpenAI wants to eventually build—an agent that helps users easily get things done by selecting the right tools for them behind the scenes.
OpenAI’s vision for the future of programming
In the future developers will probably spend less time writing routine code and more time guiding agents, reviewing their work, and making strategy decisions. Programming will become more social, letting teams easily delegate multiple tasks at once, allowing people to focus on ideas and collaboration instead of routine coding.
Watch below!
@every @embiricos read my full day-0 review from my experience using Codex to push to prod @every:
https://t.co/0vRHCS7WdR
