Design a PR review agent for Azure DevOps

A developer explored how to use GitHub Copilot to review pull requests for Azure DevOps repos, despite Copilot’s built-in review being limited to GitHub.

Done with GitHub Copilot· Advanced

What they did
A developer asked how to set up an AI pull request reviewer for repositories in Azure DevOps using GitHub Copilot. People in the discussion suggested practical ways to do it outside the built-in GitHub flow: run a CLI agent or custom Node or Python service from Azure Pipelines or webhooks, pull the PR diff through Azure DevOps APIs, have an LLM inspect it, then write review comments back. Some also described starting the process from a PR comment.
How it went
The original poster did not report a finished build. Commenters said similar setups could work well for checking acceptance criteria, suggesting or applying changes, and handling lots of issues at once. They also warned that Azure DevOps support is awkward because native Copilot review is GitHub-only, and pricing or setup can be clumsy.
Tips
If you try this in Azure DevOps, plan for a custom integration rather than a built-in feature. One commenter also noted that aligning the agent with a devcontainer can take effort, but it helps the agent build, lint, test, and run the code.

Try it yourself with GitHub Copilot

Act as a pull request review assistant for [GitHub or Azure DevOps] repos. First, ask me for the review rules, the repo context, and the PR link or diff source. Then fetch the PR changes from [platform API or pasted diff], review them against [correctness, security, style, test coverage, acceptance criteria], and draft concise review comments with file and line references when possible. Before you post, submit, delete, or apply anything, stop and ask for my approval. If you need a checklist, propose one for me to approve before you use it.

Fill in the [brackets]. Agents can make mistakes, so review anything before it is sent, paid or deleted.

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