A git forge for the agentic era.
Introducing Cursor 2.0 and Composer · Cursor
A new interface and our first coding model, both purpose-built for working with agents.
Artifacts: versioned storage that speaks Git
Give your agents, developers, and automations a home for code and data. We’ve just launched Artifacts: Git-compatible versioned storage built for agents. Create tens of millions of repos, fork from any remote, and hand off a URL to any Git client.
Cognition | Agent Trace: Capturing the Context Graph of Code
We’re excited to join in Cursor, Cloudflare, Vercel, git-ai, OpenCode and others in support of [Agent Trace](https://agent-trace.dev/). As described in the spec, Agent Trace is an open, vendor-neutral spec for recording AI contributions alongside human authorship in version-controlled codebases.
Origin Code Hosting · Cursor
Origin begins rolling out today in early beta on all paid plans. We're starting with the essentials, designed for agent scale: repos, pull requests, code browsing, and GitHub sync. Agent-native features ship soon.
Git AI - Track AI Code all the way to production
Cross-agent observability from prompt to production. Track AI-generated code from Cursor, Claude Code, GitHub Copilot, Gemini, and more through the entire SDLC.
Meet the new Cursor · Cursor
Cursor 3 is a unified workspace for building software with agents.
The Git-ification of the World — Tim Morrissey
Why AI conquered software first, and what that tells us about which industries are next.
Entire Launches Distributed Git Network for the Agent Era
Five months after the largest seed round in developer-tools history, Entire is reimagining version control for agent-scale development, allowing developers to mirror GitHub repositories on a fast, independent Git network built for agents.
How Cursor is building the future of AI coding with Claude
The Making of Cursor's Icons
A year of drawing, testing, and shipping a complete icon system for the world's favourite coding agent.
A simple way of visualizing git repository
Some time ago, a new colleague joined our department and started working on a platform we provide. During his initial days, I noticed he was using an interactive Python shell to create treemap visualizations of the project's git history.
Humans approve intent, machines prove conformance
The pull request assumes a human wrote the diff. gittifacts is my attempt at a git platform for when agents write most of it.
