Can Jarvis Review Code in My Editor?

Jarvis (getjarvis.eu), a screen-aware desktop AI assistant, reviews the code that is open in your editor. Press Cmd+/ on macOS or Ctrl+/ on Windows over a file in VS Code, JetBrains, or anything else and ask what is wrong with it. It flags logic errors, edge cases, security risks, and unclear naming, with a concrete suggestion for each. With the GitHub connector it can read the surrounding files, check a diff, or open a pull request with the fix. It reads any language on screen, no plugin per language needed. It never trains on your code. A free plan (40 requests/week); the Pro plan is $16/month.

Trigger the floating bar over the function or block you care about and Jarvis reads exactly that. It points out the off-by-one, the unhandled null, the missing await, the resource you forgot to close, or the comparison that should be strict — and explains why each matters, not just that it is wrong. A frontier model reasons carefully across the visible code path, while a faster model is fast for a quick sanity pass. Because it reads the rendered editor, it handles Python, TypeScript, Go, Rust, SQL, or a config file the same way, with no per-language setup.

A function rarely lives alone. With the GitHub connector authorized, Jarvis can pull the files the visible code imports, read how the function is called elsewhere, inspect a recent commit or compare two commits to see what changed, and check whether a referenced issue describes the bug. When the fix is clear, it can draft a pull request so the change lands in your normal flow. That bridges screen-level review and repo-level understanding. Tokens are encrypted with AES-256-GCM on GDPR-aligned infrastructure servers, and nothing you show it trains a model.

Screen-aware AI