ai and ML<\/p>\n
As GitHub struggles to manage AI load, challengers take aim<\/p>\n
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.<\/p>\n
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<\/a>” based on the 21-year-old version control software.<\/p>\n “The question is not if Git survives through the sheer weight of its ecosystem lock-in,” Dohmke mused in a recent post<\/a>. “The question is how we can expand, rewire, and evolve Git hosting for a world where AI agents are the primary producers of code.”<\/p>\n Git’s survival hasn’t been seriously questioned \u2013 it’s used by an estimated 93.87 percent<\/a>\u00a0of developers and remains the dominant version control system. It’s GitHub, Microsoft’s hosted Git platform, that’s been having problems<\/a> due to the unanticipated infrastructure stress arising from the proliferation of AI coding agent interactions.\u00a0<\/p>\n Dohmke admits as much when he acknowledges that his company’s proposed fix for Git \u2013 decentralization \u2013 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.<\/p>\n “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.”<\/p>\n In its initial form, Entire.io<\/a> allows developers \u2013 presently those promoted from the waitlist in the US, EU, and Australia \u2013 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.<\/p>\n The Entire.io network complements the Entire CLI<\/a>, 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 \u2013 allowing you to understand not just what changed, but why,” the company explains.<\/p>\n That provides some hint at the company’s fill-in-the-blanks business model \u2013 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.<\/p>\n 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<\/a>.<\/p>\n 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<\/a>.<\/p>\n The company says in the months ahead it plans to open source its Git network and allow self-hosting.<\/p>\n