Git Was Designed for Decentralization, AI Is Forcing Us to Remember
Git networks for AI agents are emerging as distributed Git infrastructure and AI-native Git workspaces that move repository traffic away from centralized hosts and toward agent-optimized, regional, and context-aware platforms tailored to autonomous coding workflows. That is the real story behind Entire and Glint: they are not cute side projects, but early signs that GitHub’s human-centric model is misaligned with the way code will be written in an agentic era. GitHub built its dominance on occasional human collaboration—clone once, pull sometimes, push when ready. AI fleets instead behave like high-frequency distributed systems, cloning, inspecting, checkpointing, and pushing across many concurrent sessions. GitHub itself has admitted that agentic development has exploded since late 2025 and forced a redesign for far higher scale. The market is now testing whether GitHub’s central role is a feature or a bottleneck.
Entire: A Distributed Git Network to Offload Agent Traffic
Former GitHub CEO Thomas Dohmke’s startup Entire is the clearest challenge to GitHub’s infrastructural role: it has opened a waitlisted preview of a regional Git hosting network designed for AI coding agents. Developers mirror existing GitHub repositories and point agents at an entire:// remote, so clones and fetches hit regional cells instead of hammering the upstream host. Under the hood, Entire is a fully rebuilt Git backend, with a global control plane for identity and placement and regional data planes for Git object storage running on nodes distributed worldwide. Active preview regions already include multiple major areas, and users can pin repositories to one region or spread the load across several. Entire claims its network can handle up to 570,000 clones per hour, 1.7 million mixed clone-and-push operations per hour, and 2.1 million pushes per hour—numbers that, even with vendor caveats, underscore how agentic coding platforms now look more like high-frequency infrastructure than a casual collaboration tool.
What Entire Changes Today: Read Offload, Not GitHub Replacement
Entire’s preview is strategically modest: it starts with mirroring, not migration. Teams keep GitHub as the origin, authorize an app, and create mirrors so agents clone and fetch from regional copies. For ordinary mirrored branches, pushes still flow through to the upstream GitHub repository, where branch protection rules, required checks, and existing write policies remain in charge. In practice, that means the immediate win is read offload and lower latency, not severing GitHub. Entire can absorb heavy agent read traffic—serving clones, refs, commits, files, diffs, and merge bases from regional cells—while GitHub handles the canonical write path. The twist is that Entire’s highest write-throughput path uses entire/unmirrored/ branches that stay local to the region, giving agents a space for high-frequency checkpoint pushes that do not burden GitHub. This hybrid design acknowledges reality: teams are not ready to abandon GitHub, but they are eager to shield it from agent storms and explore more decentralized Git networks for AI agents.
Glint: An AI-Native Git Workspace that Treats Agents as First-Class Developers
If Entire targets the backend strain, Glint attacks the frontend workflow problem. Glint Software has released the public beta of Glint, a native desktop workspace that combines multi-repo Git management, terminals, worktrees, and agentic AI coding in one repository-aware environment. Instead of juggling editor extensions, chat windows, and terminal tabs that ignore each other’s context, developers and agents share a single workspace where Git worktrees, issues, pull requests, terminals, and an AI agent called Glint Assist live in the same project view. This is an explicit critique of traditional tools: editor extensions bolt AI onto interfaces built for single-file editing, lose track when branches change, and treat multiple repositories as an afterthought. Glint’s AI-native Git workspace supports multiple hosts—working across GitHub, GitLab, and Bitbucket—making the repository forge interchangeable. By fusing Git operations with agentic coding platforms in one app, Glint hints at a future where the primary “developer” is an AI agent and humans coordinate, review, and steer.
GitHub’s Centralized Era Is Ending, Even If Its Brand Survives
The timing of these launches is not a coincidence; it is a response to GitHub’s own scaling alarm bells. After introducing a 10× capacity plan in late 2025, GitHub admitted by early 2026 that agentic workflows had forced it to redesign for roughly 30× scale across repository creation, pull requests, APIs, automation, and large repos. Reliability incidents and cloud-capacity questions exposed the limits of a central forge under agent load. Entire frames its distributed Git infrastructure as a return to Git’s original decentralized design, while Glint exposes how human-first interfaces fail once AI agents become daily collaborators. The deeper takeaway is blunt: traditional Git workflows and centralized repositories are no longer optimal for autonomous coding agents. GitHub will not disappear, but it risks becoming the origin-of-record behind networks and workspaces that treat agents—not humans—as the default contributors. Teams that ignore this shift will keep fighting scaling fires; teams that embrace it will redesign their tooling stack around agentic development from the ground up.
