Former GitHub CEO launches Entire to solve AI coding agents' strain on centralized platforms

Former GitHub CEO launches competitor designed for the age of vibe coding

In the era of vibe coding, even GitHub is having trouble keeping up with all the traffic. Now, Thomas Dohmke, the service's former CEO, has launched his own Git hosting network to meet the needs of AI agents and those minding them. His company is called Entire, which the biz has repackaged as an adverb to make the point that it is pitching "an entirely new Git hosting network" based on the 21-year-old version control software. "The question is not if Git survives through the sheer weight of its ecosystem lock-in," Dohmke mused in a recent post. "The question is how we can expand, rewire, and evolve Git hosting for a world where AI agents are the primary producers of code." Git's survival hasn't been seriously questioned - it's used by an estimated 93.87 percent of developers and remains the dominant version control system. It's GitHub, Microsoft's hosted Git platform, that's been having problems due to the unanticipated infrastructure stress arising from the proliferation of AI coding agent interactions. Dohmke admits as much when he acknowledges that his company's proposed fix for Git - decentralization - has been part of Git's design since day one. What Entire really aims to fix is GitHub and other code hosting platforms, which weren't built to accommodate AI agents. "By design, Git was always meant to be decentralized," Dohmke wrote. "Every clone contains a complete copy of the repository and its history, allowing software to be replicated across many hosts rather than controlled by a single server. But in practice, Git hosting platforms have largely routed developers into centralized systems. This was sustainable until agents came along." In its initial form, Entire.io allows developers - presently those promoted from the waitlist in the US, EU, and Australia - to mirror their public or private GitHub repos. This creates a parallel universe where AI agents can fumble their way through Entire-hosted code without putting strain on GitHub resources that might be needed for actual deployment. Users can also choose to rely solely on Entire-native branches. The Entire.io network complements the Entire CLI, a Git-integrated tool designed to collect AI agent sessions alongside code commits. "It hooks into your workflow to track prompts, responses, file changes, and other context from AI coding agents - allowing you to understand not just what changed, but why," the company explains. That provides some hint at the company's fill-in-the-blanks business model - Git hosting, agent auditing (showing why an agent made a decision), and eventually monetization of whatever data exhaust is relevant to software agents and companies managing them. The Entire network is designed for scale, low-latency, regional content control, and availability. It's intended to better handle concurrent requests, something that agents may inflict upon repos. As a point of comparison, the company cites performance stats from SpaceX's Cursor, which last month announced its own agent-friendly GitHub challenger called Cursor Origin. Entire claims that its network can handle 2.1 million pushes per hour and 570,000 clone operations per hour compared to Cursor Origin's 81,000 pushes per hour and 296,000 clones per hour. The company says in the months ahead it plans to open source its Git network and allow self-hosting. "We will continue building up and down the stack towards an open, decentralized, independent developer ecosystem for any agent and any human," said Dohmke. ®

Former GitHub CEO's startup Entire unveils its answer to the crush of AI coding agents

Former GitHub CEO Thomas Dohmke's startup Entire is rolling out a distributed network for mirroring code repositories, making the case that centralized platforms like he once ran as part of Microsoft will struggle to handle the demands of AI coding agents on their own. Entire, which emerged in February with a $60 million seed round, is launching a preview of its distributed Git network on Wednesday, with active regions in the U.S., Europe, and Australia. Developers can mirror an existing GitHub repository onto Entire in one step, keeping their code where it is while AI agents clone and pull from a faster, closer copy. Dohmke cited a principle espoused by Linus Torvalds, creator of Linux and the Git version control system, in a 2007 talk: "If you're not distributed, you're not worth using." "In the era of agents, centralized Git hosting has become a fundamental constraint, as the strain of billions of agents and developers hammering a central server shows up in the form of rate limits, high latency, or even outages," Dohmke said in a statement announcing the launch. GitHub, which Microsoft acquired for $7.5 billion in 2018, is the dominant platform for storing and collaborating on software code. It's built on top of Git, the open-source system that tracks changes across a codebase, which was designed from the start to work without a central server. Dohmke, based in Bellevue, Wash., left GitHub last year after nearly four years as CEO. He co-founded Entire with Cole Driver, a former GitHub deputy chief of staff. The fully remote company has grown to more than 40 employees across nine countries. Entire's $60 million seed round was led by Felicis, with participation from Madrona, Microsoft's venture arm M12, and Basis Set Ventures, along with individual investors including Yahoo co-founder Jerry Yang and Y Combinator CEO Garry Tan. Felicis called it the largest seed investment ever for a developer tools startup, valuing the company at $300 million. "We think it can be the next great developer platform," said Tim Porter, a Madrona managing director, in an interview this week. He cited the company's complementary position to the major coding agents -- working in conjunction with Claude Code, Cursor, Codex, and others rather than competing with them -- as a key factor driving its prospects for success. Entire isn't positioning itself as a direct competitor to GitHub, and the participation of M12 is a sign of the cooperative dynamic between the two. For now, the mirroring approach is designed to complement GitHub, not replace it. Long-term, the company's ambitions are much bigger. The announcement Wednesday morning about the preview of Entire's distributed Git network says the company plans to ultimately let developers host new repositories natively, not just mirror existing ones. Madrona, in a blog post earlier this year, described GitHub, while "incredibly important," as "quickly becoming a legacy platform" and said Entire's goal is "not only to supersede GitHub, but to superset it." The Seattle-based firm's investment was led by Porter with the late S. "Soma" Somasegar, who was previously corporate vice president of Microsoft's Developer Division and led the acquisition of Dohmke's earlier startup, HockeyApp, announced in 2014. Entire hasn't disclosed pricing. Porter said the company plans to introduce commercial and individual tiers after the preview period, with a mix of seat-based and consumption-based pricing alongside a free tier and open-source components. The new distributed Git network is one part of a broader platform. Entire also offers a tool that automatically records the reasoning and context behind AI-generated code changes -- the instructions a developer gave, the steps the agent took, and why it made the choices it did -- and stores them alongside the code itself in the repository. The company says it now integrates with every major coding agent, including Claude Code, Codex, Cursor, Factory AI, and GitHub Copilot. Entire is also announcing other new features on Wednesday: * Entire Blame, which traces a line of code back to the agent conversation that produced it. * Entire Review, which runs automated code reviews using that context. * Code and Semantic Search, which queries the history of code changes and the reasoning behind them. "Session logs are now the second most important artifact in software development," Dohmke said in his statement, "and they belong in the repository alongside the code."

Entire launches a distributed Git network built for AI coding agents

Former GitHub chief Thomas Dohmke wants to spread code hosting across regions before fleets of agents overwhelm the central model. Entire, the developer-platform startup founded by former GitHub chief executive Thomas Dohmke, has launched a preview of a distributed Git network built for the age of AI coding agents. The pitch is to spread code hosting across regions rather than lean on a single central provider. The reasoning is a familiar strain in the agent era. As more coding agents clone and pull code at once, central hosts start to buckle, a pressure GitHub itself felt when it froze new Copilot sign-ups as agentic usage broke its economics. Entire's answer is a mirror. The preview, open under a waitlist with active regions in the US, EU and Australia, lets a developer mirror an existing GitHub repository in one step, leaving the code where it is while agents clone and pull from a regional Entire copy instead. The point is to offload heavy, concurrent read traffic so agents can keep working without hitting rate limits. In the coming months, the company says, it will let developers host new public and private repositories natively. The longer-term ambition is fuller decentralisation. Entire plans to build out a network of interconnected nodes that would let teams keep code in-region for data residency and sovereignty while remaining part of a single global system. Dohmke frames it as a return to first principles. "By design, Git was always meant to be distributed," he said, arguing that centralised hosting has become a fundamental constraint now that billions of agents and developers are hammering the same servers. He is not the only one making that bet. Dohmke has personally backed Tangled, a separate decentralised Git effort, and the idea of routing around a single provider has been gathering momentum across the developer world. To back the performance claims, Entire published a set of benchmarks from its own testing. It says it sustained roughly 570,000 clones an hour from a single repository, 586 pushes a second, and about 470 combined clone-and-push operations a second on one repo, using scripts of simulated agents. The mixed test is the one meant to mirror how an agent actually works, cloning a repository, pushing a handful of changes, then repeating in a tight loop. Entire says it held that pattern at roughly 50 to 60 milliseconds of median latency. Those figures are the company's own, not independently verified. Entire says it will open-source the Git backend and the benchmark suite behind them, which would let outsiders test the numbers for themselves. The network sits on top of the product Entire launched in February, a semantic memory layer meant to stop agents repeating past mistakes. It now plugs into major coding tools including Claude Code, Codex, Cursor, Factory AI and GitHub Copilot, storing each session, prompt and tool call in the repository alongside the code. New features build on that history. Entire Blame shows not just who changed a line but the agent session and prompt behind it, while Entire Review sends a branch to several agents at once for an intent-aware read of the diff. A search feature, meanwhile, lets developers and agents query not just how code changed over time but why it was written. Dohmke argues the logs matter as much as the code. "Session logs are now the second most important artifact in software development, and they belong in the repository alongside the code," he said, casting the memory layer as a way to cut wasted tokens and speed up review. The company has grown to more than 40 people spread across nine countries, with plans to reach 60 by the end of the year. It is doing so on the back of a record $60m seed round, raised in February at a $300m valuation, that gave the venture one of the largest launches in developer tools to date.

Ex-GitHub chief's Entire opens distributed Git network for the AI agent era

Ex-GitHub chief's Entire opens distributed Git network for the AI agent era Entire Inc., the developer-platform startup founded by former GitHub Chief Executive Thomas Dohmke, today launched a preview of a distributed Git network built to let artificial intelligence coding agents clone and push code without running into the rate limits of centralized hosting. The preview is open by waitlist, with active regions in the U.S., European Union and Australia. It lets developers mirror an existing GitHub repository onto Entire in a single step. The code stays on GitHub while an agent clones and pulls from a regional Entire mirror, offloading the heavy, concurrent read traffic that agents generate so they can keep building without hitting caps. Dohmke argues that centralized Git hosting has turned into a bottleneck as agents scale. The strain of large numbers of agents and developers hitting a single server shows up as rate limits, high latency or outages, he said. Entire said it rebuilt the Git back end to handle simultaneous, high-volume agent activity and that early testing produced strong throughput. In one test, the network sustained about 570,000 clones an hour from a single repository, with 200 simulated clients shallow-cloning across Frankfurt, Paris, London and Dublin. A separate push test held 586 pushes a second, or roughly 2.1 million an hour, to a single repository. A mixed test that looped cloning and pushing the way an agent runs in practice sustained about 470 operations a second. The company plans to open-source both the Git backend and the benchmark suite behind the figures. "By design, Git was always meant to be distributed," Dohmke explained. "In the era of agents, centralized Git hosting has become a fundamental constraint, as the strain of billions of agents and developers hammering a central server shows up in the form of rate limits, high latency, or even outages. Today, we begin to return Git to its original promise, with a distributed and soon fully decentralized and open-sourced network of interconnected nodes around the world." Native hosting for new public and private repositories is due in the coming months. Entire also wants to fully decentralize the network so code can sit in-region, which it says will help developers meet data residency and sovereignty rules. The company is five months old. It launched in February with a $60 million seed round on a $300 million valuation. Dohmke had run Microsoft-owned GitHub for four years and left in August 2025 to build Entire. Its foundation is a semantic memory layer that captures each agent session, prompt and tool call and files them in the repository next to the code. Alongside the network preview, Entire detailed features that draw on that history. Entire Blame surfaces the agent session, prompt and decision behind a line of code. Entire Review sends a branch to multiple agents in parallel for an intent-aware review. A code and semantic search lets developers query why code was written, not just what changed. Entire now integrates with major coding agents including Claude Code, Codex, Cursor, Factory AI and GitHub Copilot. Session logs have become the second most important artifact in software development and belong in the repository next to the code, Dohmke said. Keeping that memory tied to the repo stops agents from repeating mistakes and lets developers verify what was built and why, he added. Entire now employs more than 40 people across nine countries, among them the U.S., Australia, Germany, India and the Netherlands. It expects to reach 60 by year's end.