How to automate code changes and refactoring across large multi-repository codebases safely

How to automate code changes and refactoring across large multi-repository codebases safely

This task can be performed using Sourcegraph

Instant, scalable code intelligence across every repo, branch, and language.

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Sourcegraph centralizes code intelligence for large engineering teams, enabling fast search, AI-assisted understanding, and automated changes across massive, multi-repo codebases. It helps humans and AI agents navigate legacy systems, manage complexity, and ship safer code at enterprise scale.

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What to expect from an ideal product

  1. Search across all repositories at once to find every instance of code that needs changing, even in codebases with thousands of repos
  2. Create and test code changes in isolated branches before applying them widely, reducing the risk of breaking production systems
  3. Track which changes succeeded or failed across different repositories and get detailed reports on what went wrong where
  4. Use batch operations to apply the same refactoring pattern to hundreds of files simultaneously instead of making changes one by one
  5. Verify that your automated changes work correctly by running tests and checks before merging, catching issues early in the process

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