How OpenAI's Codex Team Builds with Codex (43 Min) | Alex & Romain

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Dear subscribers,Today, I want to share a new episode with OpenAI’s Codex team.Alex is the product lead for Codex and Romain runs developer experience. They gave me a rare look at how their team operates including how they build products with Codex and ship without traditional specs or roadmaps. Alex also has some spicy takes on the future of PM and what he looks for when hiring (it’s not resumes!).Watch now on YouTube, Apple, and Spotify.We talked about:(00:00) Live demo: Building a game in seconds with Codex Spark (04:29) "For specs, we write like 10 bullets and that's it"(08:09) "Our designers now write more code than eng 6 months ago"(15:30) "We plan short and long term, never medium term"(22:11) How Alex actually spends his day as Codex’s product lead(32:06) The traditional career ladder no longer makes sense(39:20) What the Codex team looks for when hiring (it's not your resume)I’m proud to partner with LinearAs AI agents like Codex become part of your company’s daily workflow, having visibility into what they’re doing is critical.With Linear, you can delegate issues to Codex directly by simply tagging @Codex in an issue. You can also use the new Linear plugin inside Codex to ensure that your issues and project updates stay synced in real time.Try Linear for FreeTop 10 takeaways I learned from this episodeRomain used Codex Spark to build a simple “Animal Crossing” game in secondsHow the Codex team ships productsThe team designed the Codex app to let you delegate to multiple AI agents. The team knew that multi-agent delegation was the future, but felt that having 18 terminals wasn’t the right UX. So they started prototyping apps early before shipping on a beautifully simple agent management interface.Plan near-term or long-term, never medium-term. Alex got this advice from an OpenAI researcher: “Plan concrete milestones up to 8 weeks out and have a long-term vision of where models are heading.” Medium-term roadmaps (e.g., 6-12 months) are awkward and always changing because AI coding is evolving so fast. Read more

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