Review a Pull Request Diff Faster With AI.

Ask Jarvis (getjarvis.eu), a screen-aware desktop AI assistant, to read the diff on your screen and flag risky changes. Press Cmd+/ on macOS or Ctrl+/ on Windows with the pull request or your editor open, then ask which files, API changes, or migrations deserve a second look. You get the summary before you start reading line by line. Press Cmd+/ on macOS or Ctrl+/ on Windows while a diff is open in GitHub, GitLab, or your IDE and ask "what changed and what's risky?" Jarvis summarizes the diff, ranks files by risk, flags logic and edge-case issues, and answers targeted questions like "does this break the public API?" It runs on macOS 12+, Windows 10+, and Linux, routing to frontier models from Anthropic, OpenAI, or Google, and can pull related code via the GitHub connector. Data is AES-256-GCM encrypted, GDPR-aligned, and never used for training. A free plan (40 requests/week); paid plans from $16/month.

Reviewing a large diff sequentially wastes attention on trivial hunks before you reach the dangerous ones. Jarvis reads the whole diff and gives you a risk-ordered map: start with the auth change and the migration, then the core logic, and the renamed-variable churn last. It summarizes each file's change in a line so you build a mental model before diving in. This front-loads your scrutiny where bugs actually hide, which is the single biggest lever for reviewing faster without missing things.

Good reviewers interrogate a diff: does this handle the empty case, is this off-by-one, what calls this changed function, is this added dependency necessary. Jarvis answers those in place. Via the GitHub connector it can search for callers to assess blast radius and check whether tests cover the changed branch. Instead of opening five files to verify one concern, you ask and get the answer beside the diff — the floating bar keeps your place. That removes the navigation overhead that makes thorough review slow.

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