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Cursor Announces Origin, a GitHub Alternative Built for AI Agents

Origin

Cursor has announced Origin, a new platform for hosting and managing code repositories. The company describes it as an AI-native alternative to GitHub that is designed for a future where AI agents do a large part of software development.

Origin is a Git-compatible platform where developers and AI agents can host code, collaborate, review changes, and manage projects. The goal is to make it easier to handle code changes generated by multiple AI agents working in parallel.

As AI coding tools become more powerful, developers can now ask agents to write features, fix bugs, run tests, and make code changes automatically. While this helps speed up development, it also creates a new problem. Teams need better ways to review, manage, and merge a large number of AI-generated changes.

This is the problem Cursor wants to solve with Origin.

The announcement also sheds more light on Cursor’s recent acquisition of Graphite. Graphite is known for features such as stacked pull requests, code review workflows, and merge queues. These tools help teams manage code changes more efficiently.

Together, Graphite and Origin could give Cursor a complete software development platform. Developers can write code in Cursor, use AI agents to generate changes, review them with Graphite-style workflows, and manage repositories on Origin.

The launch shows that Cursor is expanding beyond being just an AI coding editor. The company is now building tools that cover more parts of the software development process.

This could eventually make Cursor a competitor to GitHub. While GitHub was built for human developers collaborating on code, Origin is being designed around a future where both humans and AI agents work together.

The company believes the next big challenge in software development will not be writing code. Instead, it will be managing, reviewing, and safely merging the huge number of changes generated by AI agents.

With Origin, Cursor is betting that software development platforms need to be rebuilt for the AI era.

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