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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."
[2]
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.
[3]
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.
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Thomas Dohmke's startup Entire has unveiled a distributed Git network designed to handle the surge of AI coding agents. The platform lets developers mirror repositories across regions in the U.S., Europe, and Australia, addressing rate limits and latency issues that plague centralized platforms. Built on a $60 million seed round at a $300 million valuation, Entire aims to complement GitHub while preparing for an AI agent era where billions of automated systems need simultaneous code access.
Entire, the developer platform startup founded by former GitHub CEO Thomas Dohmke, has launched a preview of its distributed Git network built specifically for the AI agent era
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. The platform addresses a mounting challenge: as AI coding agents proliferate, centralized code hosting platforms face unprecedented pressure from billions of automated systems cloning and pulling code simultaneously. Dohmke argues that centralized Git hosting has become a fundamental constraint, with the strain manifesting as rate limits, high latency, and even outages2
. The launch comes as GitHub itself felt this pressure when it froze new GitHub Copilot sign-ups after agentic usage broke its economics.
Source: GeekWire
The preview, available through a waitlist with active regions in the U.S., Europe, and Australia, allows developers to mirror an existing GitHub repository onto Entire in a single step
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. The code remains on GitHub while AI coding agents clone and pull from a faster, regional Entire copy instead, offloading heavy concurrent read traffic3
. This approach is designed to complement GitHub rather than replace it, though long-term ambitions are much bigger. Entire plans to let developers host new public and private repositories natively in the coming months, not just mirror existing ones1
. The company rebuilt the Git backend to handle simultaneous, high-volume agent activity, with early testing showing the network sustained roughly 570,000 clones per hour from a single repository and 586 pushes per second3
.Beyond the distributed Git network, Entire has built a semantic memory layer that automatically records the reasoning and context behind AI-generated code changes, storing them alongside the code itself in the repository
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. The platform now integrates with every major coding agent, including Claude Code, Codex, Cursor, Factory AI, and GitHub Copilot1
. New features leverage this history: Entire Blame traces a line of code back to the agent conversation that produced it, while Entire Review runs automated code reviews using that context1
. A code and semantic search feature lets developers query not just how code changed over time but why it was written2
. Dohmke argues that session logs have become the second most important artifact in software development and belong in the repository alongside the code3
.Related Stories
Entire emerged in February with a $60 million seed round led by Felicis, with participation from Madrona, Microsoft's venture arm M12, and Basis Set Ventures, valuing the company at $300 million
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. Felicis called it the largest seed investment ever for a developer tools startup1
. Thomas Dohmke, based in Bellevue, Washington, left GitHub last year after nearly four years as CEO and co-founded Entire with Cole Driver, a former GitHub deputy chief of staff1
. The fully remote company has grown to more than 40 employees across nine countries and expects to reach 60 by year's end3
. The longer-term vision involves full decentralization, with Entire planning to build 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 system2
. The company plans to open-source both the Git backend and benchmark suite, allowing independent verification of its performance claims2
. Madrona described GitHub as "quickly becoming a legacy platform" and said Entire's goal is "not only to supersede GitHub, but to superset it"1
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