Entire, the developer-tools startup founded by former GitHub chief Thomas Dohmke, launched a Git-compatible code-hosting platform on October 26 that puts AI-agent evaluations at the center of software review. The service competes with GitHub by offering private repositories, automated review dashboards and searchable records of how coding agents produced their changes.
Its headline feature, Trails, is designed to replace the conventional pull-request discussion with continuously updated scores and findings. When developers or agents push a change, separate review agents can examine security, code quality and whether human attention is needed. Repository rules can still require passing builds and a person’s approval before merging.

A GitHub rival built around AI agents
Entire says its distributed Git server handles pushes up to 89 times faster than GitHub in its own benchmarks. That comparison is a vendor measurement, not an independent finding or a promise about every repository. The company supports native private hosting in multiple regions and allows existing GitHub repositories to be mirrored rather than migrated.
The launch addresses a broader pressure point in software development: coding tools can produce changes faster than maintainers can review them. Previous research on agent-generated code and GitHub’s 2026 Octoverse figures show why teams are rethinking how they validate machine-written changes. GitHub is rebuilding its own infrastructure to handle rising repository traffic. Automated scores, however, do not establish that code is correct.

Code history becomes searchable memory
A second feature, Continuous Memory, indexes coding-agent sessions alongside a map of the repository. Entire reports that its codebase graph reduced token usage by as much as 71% in internal testing. The service also integrates with Buildkite and Depot for build-and-test pipelines, creating an alternative to some GitHub-based agent workflows.
GeekWire reported that Entire’s release followed a $60 million seed financing earlier this year. Initial support is focused on private repositories; public repositories and self-hosted servers remain planned features, according to the company.
The competitive test is whether software teams can trust automated findings, enforce human review where necessary and migrate without losing existing protections. As The New Stack noted, Entire is offering a different review model, not simply a faster copy of GitHub. More independent performance testing and production adoption data are still needed.
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