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.
Repositories Are Human/Agent Knowledge Factories
Repositories aren’t where code lives anymore—they’re where **knowledge is manufactured**. And increasingly, it’s not humans doing the work—it’s agents, with humans supervising the factory.…
Software Is Made Between Commits
From the Zed Blog: Agents turned the conversation into the real source of our software. DeltaDB is the version control built for it.
Git at any scale · Cursor
Hosting Git repositories at scale is a nightmare. When Linus Torvalds designed the first version of the information manager from hell (that's actually the tagline for Git, look it up), he had a very specific use case in mind: his own. He wanted to replace BitKeeper, the distributed version control system that was being used to develop the Linux Kernel. Of course, the replacement had to be distributed too. The Kernel is an unusual software project; it is extremely decentralized, with many different maintainers for its many different subsystems. A distributed version control system is a natural fit for this workflow.
Control access and protect artifacts | Artifact Registry | Google Cloud Documentation
This page describes Google Cloud services and features that help you to safeguard your artifacts.
shepherd-agents/shepherd
A runtime substrate that turns an agent's execution into a reversible, Git-like trace, so meta-agents can observe, fork, replay, and revert any run. Couples agent and environments in a copy-on-write fork ~5x faster than docker commit, with ~95% KV-cache reuse on replay. Framework built for meta-agents to supervise, optimize, and train other agents
OpenWiki: Open Source Repo Documentation for Coding Agents
OpenWiki generates and maintains codebase documentation so coding agents can find the repo context they need without loading everything into one instruction file.
git-pkgs/forge
Go library and CLI for working with git forges. Supports GitHub, GitLab, Gitea/Forgejo, and Bitbucket Cloud through a single interface.
Composable, fast, and secure dev environments | Workshop | Ubuntu
Launch agent-ready, sandboxed development environments with a single command. Define them via simple YAML configs, share them to recreate on different machines.
High Performance Git
High Performance Git by Ted Nyman, a book about Git internals and large Git repositories.
Evaluating AGENTS.md: Are Repository-Level Context Files Helpful for Coding Agents?
A widespread practice in software development is to tailor coding agents to repositories using context files, such as AGENTS.md, by either manually or automatically generating them. Although this practice is strongly encouraged by agent developers, there is currently no rigorous investigation into whether such context files are actually effective for real-world tasks. In this work, we study this question and evaluate coding agents' task completion performance in two complementary settings: established SWE-bench tasks from popular repositories, with LLM-generated context files following agent-developer recommendations, and a novel collection of issues from repositories containing developer-committed context files. Across multiple coding agents and LLMs, we find that context files tend to reduce task success rates compared to providing no repository context, while also increasing inference cost by over 20%. Behaviorally, both LLM-generated and developer-provided context files encourage broader exploration (e.g., more thorough testing and file traversal), and coding agents tend to respect their instructions. Ultimately, we conclude that unnecessary requirements from context files make tasks harder, and human-written context files should describe only minimal requirements.
Full featured documentation deployment platform
Read the Docs is a documentation building and hosting platform aimed at helping developers creating documentation from code with versioned documentation, integrated search, pull request previews and more.
Solving Git's Pain Points with Jujutsu (with Martin von Zweigbergk)
GitHub
GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.
GitHub
GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.