OpenAI’s Codex: This Model Is So Fast It Changes How You Code (47 min)
- Release date: 2026-02-18
- Listen on Spotify: Open episode
- Episode description:
OpenAI’s hottest app isn’t ChatGPT—it’s Codex.In the last few weeks alone, the Codex team shipped a desktop app, GPT-5.3 Codex (a new flagship model), and Spark, the fastest coding model I’ve ever used. Usage has grown fivefold since January, and over a million people now use Codex weekly. Codex was also the app that OpenAI chose to run an ad for in the Super Bowl.Dan Shipper talked to Thibault Sottiaux, head of Codex, and Andrew Ambrosino, a member of technical staff who built the Codex app, for Every’s AI & I about what OpenAI is building and how they’re using it internally.If you found this episode interesting, please like, subscribe, comment, and share! Want even more?Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It’s usually only for paying subscribers, but you can get it here for free.To hear more from Dan Shipper:Subscribe to Every: https://every.to/subscribe Follow him on X: https://twitter.com/danshipper Head to granola.ai/every and get 3 months free with the code EVERY.Timestamps: 00:00:00 - Start00:01:27 - Introduction 00:05:27 - OpenAI's evolving bet on its coding agent 00:09:42 - The choice to invest in a GUI (over a terminal) 00:20:38 - The AI workflows that the Codex team relies on to ship 00:26:45 - Teaching Codex how to read between the lines 00:28:45 - Building affordances for a lightening fast model 00:33:15 - Why speed is a dimension of intelligence 00:36:30 - Code review is the next bottleneck for coding agents 00:41:24 - How the Codex team positions against the competition Links to resources mentioned in the episode:Thibault Sottiaux: Tibo (@thsottiaux)Andrew Ambrosino: Andrew Ambrosino (@ajambrosino)Every’s vibe check on everything the Codex team launched: OpenAI's Codex App Gains Ground on Claude Code, GPT-5.3 Codex—The 10x Engineer, Now More Fun at Parties, AI as Fast as Your Train of Thought
Summary
- 🚀 Super Bowl Launch Surge: Codex app hit 1M+ downloads post-ad, broadening from pro devs to builders via inspiring GUI for agents.
- 🖥️ GUI Command Center: Outshines TUIs/IDEs as daily driver for multitasking, voice, diagrams, and integrations like GitHub/Slack.
- ⚡ Blistering Model Speed: 5.3 Codex enables real-time flow, mid-turn steering; Cerebras/WebSockets promise even faster delegation.
- 🤖 Automation Superpowers: Hourly PR fixes, bug hunts, reports run autonomously, freeing devs for high-level oversight.
- 🔍 Verification Bottleneck: AI floods code reviews; next frontier is AI-assisted testing, reviews, and evidence-based PRs.
Insights
How is the Codex app’s GUI outperforming TUIs and IDEs for even power users?
Time: 0:11 – 17:11
Category: AI in Workforce DisruptionAnswer: Developers, including the team, prefer its clean interface for multitasking agents, voice input, diagrams, and integrations like Slack or Vercel, making it a ‘command center’ rather than a code editor. This challenges the terminal hype and redefines programming UIs. (Start at 0:11)
Why did OpenAI surprise everyone with a Super Bowl ad for the niche Codex app instead of ChatGPT?
Time: 1:45 – 5:13
Category: AI-Driven Innovation EconomyAnswer: The ad targeted builders broadly, leading to over a million downloads in the first week and a massive traffic surge, signaling a strategic shift to inspire non-professional coders to create with AI agents. This positions Codex as a mainstream tool for innovation. (Start at 1:45)
What changes when AI coding models like 5.3 Codex become so fast they’re ‘unsettling’?
Time: 18:06 – 36:15
Category: AI-Driven Innovation EconomyAnswer: Blistering speeds enable real-time code sculpting, mid-turn steering, and flow-state productivity, with future optimizations promising 2-3x faster via Cerebras hardware and WebSocket serving. Users adapt quickly but struggle to return to slower models. (Start at 18:06)
Can AI automations turn developers into full-time delegators of bug fixes and PRs?
Time: 20:27 – 25:07
Category: AI in Workforce DisruptionAnswer: Team members run dozens of automations for merge conflict resolution, daily contribution reports, random bug hunting, and preemptive fixes from observability data, keeping codebases pristine without human intervention. This shifts workflows to oversight. (Start at 20:27)
What everyday creativity does Codex unlock beyond coding, like custom kids’ books?
Time: 25:15 – 26:46
Category: Cultural Creativity with AIAnswer: Skills like ImageGen and PDF combine with agent intelligence for personalized projects, such as generating illustrated stories from family details. This hints at agents as versatile companions for non-dev tasks. (Start at 25:15)
Why is code verification emerging as the new bottleneck after AI speedups?
Time: 36:30 – 41:20
Category: AI in Workforce DisruptionAnswer: AI now generates entire apps from screenshots, but humans can’t review the flood of code fast enough, leading to dual review layers (agent + peer). Solutions like AI-assisted reviews, end-to-end testing with screenshots, and fast understanding tools are in development. (Start at 36:30)
How does tight research-product integration accelerate Codex’s edge over competitors like Anthropic?
Time: 41:20 – 45:37
Category: AI-Driven Innovation EconomyAnswer: Codex team solves model issues like compaction via end-to-end RL, ships monthly improvements, and achieves full internal adoption, including for training. This collaborative flywheel outpaces rivals on reliability for long-horizon agent tasks. (Start at 41:20)