Entire Launches Git Forge for AI Coding Agents
The new platform is built for collaboration between human developers and AI coding agents, with trails that track evaluation scores on every push.
Updated on Nov. 8, 2026 in Artificial Intelligence
Entire has launched a Git forge designed for collaboration between human developers and AI coding agents. The platform is one of several new entrants in source code management, alongside Zed DeltaDB, Anthropic Scion, East River Source Control, Cursor Origin, and Radicle.
Why it matters
Traditional software development infrastructure, particularly the pull request model, is not well suited to an environment where AI agents generate, review, and iterate on code at high speed. Entire's approach reflects a broader effort to rebuild that infrastructure around agent-driven workflows.
Entire's fully distributed architecture enables pushes up to 89 times faster than GitHub, according to the company, with each trail displaying the last 5 eval runs alongside the current run. The extraction does not include independent benchmarks confirming the speed comparison.
The players
Entire
Entire is a company that has built a Git forge aimed at collaboration between human developers and AI coding agents.
Anthropic Scion
Anthropic Scion is one of several new players in the source code management space listed alongside Entire.
GitHub
GitHub is a widely used code hosting platform against which Entire benchmarks its push speed.
The details
Entire's core component is trails, which can be started from a bug report, a feature request, or manually, and can span multiple repositories. A review agent running in a cloud sandbox evaluates changes on every new push, returning a score and rationale based on code quality, security, slop, and whether human review is required.
Timeline
Entire's launch was announced on November 8, 2026.
The Tech Race
Entire positions itself against GitHub's pull request model, which its founders argue has become an audit log that only the agent reads. The launch sits among a cluster of new source code management entrants, including Zed DeltaDB, Anthropic Scion, East River Source Control, Cursor Origin, and Radicle.
Developers working with AI coding agents could see changes to how code is reviewed and merged, since all review findings must be resolved or closed before a merge is allowed. Repository-level Gates can also be configured to define the conditions required for approval.
The takeaway
Teams evaluating AI-assisted development should watch how review gates and eval scores are configured, since they determine what must be resolved before code reaches production. Trying a new workflow on a small repository can show whether the approach fits a given team's process.
Further reading
For more on how AI is reshaping developer tooling, explore Artificial Intelligence coverage on Wisevoter.
