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OpenAI's Codex now records workflows once and replays them—no coding required

June 21, 2026 · 5 min

Jonathan Ingles & Ben Okonkwo

OpenAI's Codex gained a 'Record & Replay' feature on June 18 that lets users teach an agent a task once—no code required—and replay it indefinitely. The feature was blocked from the EEA, UK, and Switzerland from day one. Days earlier, OpenAI acquired Ona (formerly Gitpod) for reportedly hundreds of millions of dollars.

OpenAI has made two significant moves to expand its automation capabilities for enterprise users. First, on June 18, 2026, OpenAI shipped version 26.616 of its Codex macOS app, introducing a feature called Record & Replay.

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About this episode

OpenAI has made two significant moves to expand its automation capabilities for enterprise users. First, on June 18, 2026, OpenAI shipped version 26.616 of its Codex macOS app, introducing a feature called Record & Replay.

Frequently asked

What is OpenAI Codex Record & Replay and how does it work?

OpenAI Codex Record & Replay, shipped June 18 in Codex version 26.616, lets a user perform a task once while the agent watches, then converts that demonstration into a reusable skill. No prompting or workflow configuration is required. It is distinct from Codex's existing Automations feature, which schedules recurring tasks in GitHub-connected cloud sandboxes.

Why is OpenAI Codex Record & Replay not available in Europe or the UK?

The stated reason was not disclosed. OpenAI blocked Record & Replay from the European Economic Area, the UK, and Switzerland from day one of launch, not as a phased rollout. The transcript presents GDPR caution as one speculative reading but notes the sources do not distinguish compliance caution from other possible motives.

What is the Ona acquisition and why did OpenAI buy Gitpod?

OpenAI acquired Ona—formerly Gitpod—on June 11, paying a reported hundreds of millions of dollars for the 60-person Berlin team. CEO Sam Altman described Ona as 'the hands that get things done,' providing Codex agents with persistent cloud execution lasting hours or days rather than minutes.

What does OpenAI's 400% Codex usage growth figure actually mean?

OpenAI cited 400% usage growth and five million weekly Codex users around the time of the Ona acquisition announcement, but did not disclose the baseline, time period, or metric—active users, API calls, or task completions. Critics note the figure is compatible with high-volume one-time openings that do not indicate sustained enterprise value.

What is the difference between Codex Automations and Record & Replay?

Codex Automations, an existing feature, schedules recurring tasks and runs them in isolated cloud sandboxes connected to GitHub. Record & Replay is a newer paradigm: the agent observes a user completing a task once and converts that observation into a reusable, editable skill—no manual workflow configuration required.

Grounded in 12 sources
Does Gravity Care About Electric Charge? A Minimalist Model and Experimental Test · arxiv.org
The Transformative Impact of AI on Enterprise Cloud Integrations and Automation · doi.org
Elon Musk Loses $150 Billion Suit Against OpenAI and Sam Altman · nytimes.com
New AI optimization framework beats Claude Code and Codex by 2.5x on the same compute budget - VentureBeat · venturebeat.com
Adobe Says Its Expanded AI Agents Are There to 'Guide You Down the Happy Path' - CNET · cnet.com
OpenAI Automates Ad Creative for ChatGPT Ads - Let's Data Science · letsdatascience.com
Agentic Commerce Needs Open Infrastructure To Scale - Forbes · forbes.com
AI researcher Gary Marcus sees problems ahead for tech stocks with ties to OpenAI - Business Insider · businessinsider.com
system_prompts_leaks/OpenAI/Codex/gpt-5.5.md at main - GitHub · github.com
Leaked OpenAI financials show $38.5B loss and compute burn · news.ycombinator.com
ChatGPT to debut on Pentagon's GenAI.mil in ‘early July’, OpenAI says - Defense One · defenseone.com
New OpenAI Method Forecasts AI Risks Before Deployment - BankInfoSecurity · bankinfosecurity.com
Read transcript

Ben Okonkwo: Mm. Two moves, one week. I'm still — honestly, I'm still working out which one is the bigger story.

Jonathan Ingles: They're the same story. That's the point. June 11th, OpenAI buys Ona — formerly Gitpod, 60 people in Berlin, reportedly hundreds of millions of dollars. Sarah Friar breaks it on LinkedIn. Then seven days later, June 18th, they ship Record & Replay inside Codex version 26.616 — show the agent a task once, it learns it, no code. And they block it from the entire European Economic Area, the UK, Switzerland. From launch.

Ben Okonkwo: Wait — from launch? Not a rollout delay?

Jonathan Ingles: Day one exclusion. And Sam Altman is out there calling Ona 'the hands that get things done' — giving every Codex agent 'a full runtime.' Persistent cloud execution, hours or days. That's the pitch.

Ben Okonkwo: Now, they're also claiming five million weekly Codex users and 400% usage growth into the acquisition announcement. That figure — right, that's the one I want to pull apart. Because 400% of what, exactly?

Ben Okonkwo: Right, and that's before we even get to what Record & Replay actually is versus what Automations already does. Because those are two different things, and the coverage is mashing them together. Automations — that's already in Codex. Scheduling recurring tasks, running them in isolated cloud sandboxes connected to GitHub. That's existing. What Record & Replay adds is... it's a different paradigm. You perform a task once, the agent watches, and it converts that observation into a reusable skill. No prompting, no workflow config. Learning from demonstration.

Jonathan Ingles: But what does 'editable skill' mean when it breaks?

Ben Okonkwo: That's — yeah, that's exactly the gap. The sources don't say. No failure rate, no edge-case data. Are users debugging Codex's interpretation, or are they basically writing the code they thought they were avoiding? Silence on that.

Jonathan Ingles: And that's where Ona's actually new. Ona isn't fixing Record & Replay's failure modes — it's solving duration. Sarah Friar said it plainly: hours or days, not minutes. That's the Gitpod infrastructure. That's the genuinely new thing.

Ben Okonkwo: Persistent cloud execution. An agent keeps running after you close your laptop. That is a qualitative shift for enterprise deployment — I'll grant that. The orchestration problem it solves is real.

Ben Okonkwo: But back to 400%. Active users? API calls? Task completions? The number is compatible with millions of people opening Codex once and never returning. That's not proof-of-value — that's a denominator problem.

Jonathan Ingles: And that denominator problem is exactly what makes it a justification metric. OpenAI needs to explain a deal reportedly worth hundreds of millions of dollars. What do you reach for? The biggest number you have. Four hundred percent. It doesn't survive scrutiny — it's not designed to.

Ben Okonkwo: Right, but — I mean, noisy isn't the same as meaningless. If the baseline and methodology are eventually disclosed, even a rough signal tells you something about trajectory. The stronger claim, that it's deliberately fabricated to justify the price, that requires intent I can't read from the number alone.

Jonathan Ingles: No, I don't buy that.

Ben Okonkwo: Why not?

Jonathan Ingles: Because the EEA exclusion is the tell. Record & Replay is blocked from launch — day one — in the exact jurisdictions with the enforcement infrastructure to actually demand that methodology. You don't get to claim the 400% proves enterprise value while simultaneously hiding the feature from every regulator positioned to audit it. That's the contradiction. That's the arbitrage.

Ben Okonkwo: Okay, that — actually, the exclusion is real, the pattern is real. But motive is doing a lot of work there. Compliance caution is a legitimate reading. 'We don't know if Record & Replay clears UK data-protection standards yet' — that's not the same as 'we're staging a regulatory play.' The sources don't distinguish those two.

Ben Okonkwo: Right, but — okay, here's what I keep not being able to resolve. The story isn't whether OpenAI eventually brings Record & Replay to the EEA. It will. That's not the question. The question is what happens when it does — because by then, the feature has already been running in enterprise clouds in unregulated markets for however long. A year, maybe more. And whatever guardrails OpenAI retrofits to satisfy regulators at that point... they're being designed after the system is already embedded. That's not accountability architecture. That's compliance theater built on top of infrastructure that's already load-bearing.

Jonathan Ingles: And regulators will be asking that exact question from behind. That's the position Brussels ends up in.

Ben Okonkwo: Which is — I mean, that's the thing neither the Ona acquisition announcement nor the Record & Replay launch actually answers. When compliance arrives a year late to infrastructure that's already running, does it change anything, or does it just get absorbed?

OpenAI's Codex now records workflows once and replays them—no coding required · Onpode