Sourcegraph, the code intelligence platform that helps enterprise engineering teams understand, oversee, and evolve their codebases, announced public beta availability of Agentic Batch Changes. Agentic Batch Changes is an AI agent that builds on Sourcegraph's Batch Changes execution engine and code search. By bringing AI-powered planning and orchestration to large scale code changes, it enables teams to plan, execute, and track changes across hundreds or thousands of repositories, starting with a single prompt.
Sourcegraph launches Agentic Batch Changes in public beta.
Teams start with a single prompt describing the change they want to make.
Agent identifies repositories, validates approach, handles variation, and iterates on failures.
Mercari used Agentic Batch Changes to identify and patch GitHub Actions vulnerability across 80+ repos.
Built on Sourcegraph's code graph, Deep Search, and Batch Changes execution infrastructure.
Available for Sourcegraph Cloud at no additional cost during beta.
Every engineering team eventually faces the same challenge: a change that needs to happen everywhere. A dependency needs upgrading. An API changes and every caller needs updating. A security vulnerability drops and the fix needs to reach every exposed repository. The hard part is not deciding what change to make. It's executing that change across hundreds of repositories without losing visibility, introducing inconsistency, or pulling engineers into weeks of repetitive manual work. Until now, teams had four options: make changes manually, write brittle scripts, trust a coding agent to clone hundreds of repositories, or avoid the rollout entirely.
With Agentic Batch Changes, teams start with a single prompt describing the change they want to make. The agent uses Sourcegraph search and Deep Search to identify repositories that need the change, validates its approach in an initial repository, then expands the rollout. It handles repository specific variation, reacts to CI signals, and iterates on failures before publishing at scale. Engineers review and approve every changeset before merge.
Dan Adler, CEO of Sourcegraph, stated: "Agentic Batch Changes brings the capabilities of the best coding agents to the largest companies in the world. For years, the owners of the largest codebases have watched smaller competitors move faster because large scale changes were too slow and too risky. Agentic Batch Changes changes that, enabling engineering teams to roll out changes across thousands of repositories and directories with the speed and confidence of changing just one."
Mercari, the Japan-based marketplace platform, used Agentic Batch Changes during the experimental preview. Patrick Klitzke, Team Lead at Mercari, used it to identify a GitHub Actions environment-variable injection vulnerability and began patching it across affected repositories. Klitzke noted: "I looked at a GitHub injection issue where you have to set environment variables correctly. I was able to fix it with one prompt on both the Help Center frontend and backend, then extended this to all repos in Mercari – I found around 80 potential repos affected. With the help of Agentic Batch Changes, you're able to handle repos that have similar, but not identical setups."
Agentic Batch Changes is designed for code changes that have historically been too complex to script, including dependency upgrades with breaking changes, CVE remediation where Sourcegraph search identifies every instance of a vulnerable library, code pattern updates with judgment, new API or library rollouts with per-service variation, and CI pipeline modernization. Built on Sourcegraph's code graph, Deep Search, and Batch Changes execution infrastructure, Agentic Batch Changes chooses the right execution strategy for every change.
About Sourcegraph
Sourcegraph is the code intelligence platform that helps enterprise engineering teams understand, oversee, and evolve their codebases. Sourcegraph's products, including Code Search, Deep Search, Sourcegraph MCP, and Agentic Batch Changes, give engineering teams the context and infrastructure they need to take control of their codebase as AI changes how software gets built. Sourcegraph is trusted by some of the world's largest engineering organizations.
