OpenAI acquires Pierre Computer, integrating code browsing, review, and distributed Git capabilities into Codex

OpenAI Acquires Mysterious Team! Altman Wants to Build Another GitHub Inside Codex Xinzhiyuan November 05, 2026 18:08:31 From Beijing

Silicon Valley is buzzing today!

Just now, OpenAI officially announced the acquisition of a mysterious startup team — Pierre Computer.

Altman had barely finalized the deal before he turned around and stitched its code browsing, inline review, and distributed Git capabilities into Codex's territory.

At almost the same moment, Conductor, the parallel programming tool used by over 100,000 coders, was also swallowed up by Meta today.

Founder Charlie Holtz announced that the entire team is joining Meta Superintelligence Labs (MSL).

They will team up with former GitHub CEO Nat Friedman and Chief AI Officer Alexandr Wang to jointly build the "next-generation interaction interface."

Writing code is only the beginning; every step from pulling branches and reviewing code to shipping and delivery is now in their sights.

OpenAI Takes In Pierre

Codex Puts "Viewing, Reviewing, Storing" All in Its Own Pocket

To catch OpenAI's eye, the Pierre team's pedigree is quite hardcore.

Jacob Thornton, co-founder of the legendary front-end open-source framework Bootstrap, former Discord core heavyweight Amadeus, and esm.sh creator Je Xia are all on this team.

The Pierre team even went to a street basketball court to shoot a deadpan short film — "no filming permit, only one shot" — to announce joining OpenAI.

Don't let the official announcement video's amateur look fool you; when Tibo, head of OpenAI Codex, reposted it, he directly likened Pierre to the "RAM" inside a computer and vowed to "reshape everything."

Tibo's high praise comes because, although Codex can now dispatch a dozen or so Agents to write code simultaneously, delivering the final work has become a huge headache.

Dozens of Agents clatter away in the background, and tens of thousands of lines of changes instantly fill the screen. Not only can human programmers not keep up, but there is also nowhere to store such a massive number of branches.

Pierre's three core strengths happen to fill Codex's gaps in "viewing code, reviewing code, and storing code" all at once.

Viewing code (Trees): Already built into the Codex desktop version, it specializes in millisecond-level smooth expansion of massive project directories and cross-branch file location.

Reviewing code (Diffs): Previously, when reviewing a PR on GitHub, even if you spotted a single wrong variable name written by AI, you had to switch back to your local IDE, fix it, and push again; Pierre's Diffs directly embeds an "inline edit (Edit)" mode into the comparison view — if a line looks off, one click of the mouse fixes the code on the spot.

Storing code (Code Storage): A distributed Git repository designed specifically for high-concurrency reads and writes by AI Agents, it has long been the invisible infrastructure behind hit apps like Lovable, Bolt, and Poke. Lovable alone, a unicorn, uses it to create over 8 million new Git repositories per week, while Poke uses it to handle 40,000 Git operations per minute to store Agent memory.

Next, this technology foundation will be fully merged into Codex; as for Pierre's original open-source projects and existing customer services, OpenAI promises everything stays as before and will not be cut off.

AI Writes Git to Collapse

The Battle Burns Into Microsoft GitHub's Backyard

OpenAI's rush to merge Pierre into Codex actually stems from a big embarrassment —

Its own Git system was recently crashed by AI.

Just two days before announcing the Pierre acquisition, OpenAI had just released Pando, a new Git backend developed entirely in-house.

It turns out that ever since everyone at OpenAI started using Codex, engineers have been unleashing groups of Agents every day to open branches, push code, and run CI tests in parallel, and the huge internal monorepo was directly overwhelmed starting late last year.

Code couldn't be pulled or pushed, merges frequently errored out, and the reliability of OpenAI's internal Git system once dropped below 90%.

Driven to desperation, OpenAI simply rewrote Git's underlying layer from scratch.

As a result, push speed became nearly 5 times faster, with nearly 1 PB of data racing through internally every day — even President Greg Brockman personally showed off the results.

Outsiders originally thought this was just OpenAI's "internal self-rescue," but only two days later, it turned around and bought Pierre.

With this combination punch, OpenAI has essentially charged straight into the backyard of GitHub, owned by its major shareholder Microsoft.

Of course, OpenAI is far from the only one eyeing this juicy piece of meat.

Cursor, which launched the Origin hosting platform, Anthropic, which developed its own Scion version control, and former GitHub CEO Thomas Dohmke, who just founded a startup last month, are all closing in on the traditional code-hosting territory.

From editors and review consoles to the Git repository foundation, none of the AI giants want to live under someone else's roof anymore and be merely a "plug-in" that helps people autocomplete code.

Although GitHub, with 150 million developers, still firmly sits as the open-source home base, even GitHub's former leader has turned around and joined this army of "dismantlers."

Former GitHub Leader Steps In

Intercepts Meta's 100,000-Programmer Tool

On the same night OpenAI bought Pierre, Zuckerberg's MSL also staged a lightning-fast talent grab.

The most noteworthy name in this acquisition is Meta's counterpart, Nat Friedman.

This guy was the first CEO after Microsoft bought GitHub for $7.5 billion in 2018; he personally raised the previous generation of programmer workflows.

Now at Meta, teaming up with Chief AI Officer Alexandr Wang, he has turned around and pocketed the hottest "next-generation Agent command center" in Silicon Valley geek circles.

Multi-Agent isolated concurrency: You can split the dirty, tedious work among multiple Claude Code or Codex Agents, letting them work simultaneously in their own isolated workspaces without stepping on each other.

Same-screen co-op like Figma: Press the shortcut "⌘⇧C" to toss the workspace to a colleague; several people can watch an Agent write code on the same screen, relay instructions, review the Diff, and casually hit Merge.

Even Ilya Sutskever and YC partner Aaron Epstein were early supporters.

Looking closely at the workspace screenshot from Conductor's official website above, you can even spot Ilya's avatar and name in the team list in the lower-left corner.

Programmers' Old Workstations Are Being Replaced Wholesale

Today, writing code has become the cheapest step. Type a couple of lines of prompts, and a dozen Agents can simultaneously modify code, add tests, and fix bugs.

What really bottlenecks is what comes after the code is written: how to review tens of thousands of lines of changes, how to review dozens of branches, and where to store massive repositories.

The big companies know better than anyone that models alone cannot bind programmers: today Claude is handy so they switch to Claude, tomorrow GPT updates so they switch to GPT — switching model providers is just a mouse click away.

But once the codebase, review process, and history all live inside its tools, moving out becomes hard.

As OpenAI said in its acquisition announcement:

Every workflow left over from the old software era must be redesigned for the era in which humans and Agents write code together.

How code is written no longer matters; which desk programmers sit at to work is the real battleground the big companies will fight over next.

Editor: Moses