
The code editor reimagined around AI.
Read the review →5 tools selected and reviewed
Tracking a bug means understanding code you didn't always write yourself, reproducing the error then finding the right fix without breaking others. The AIs below analyse the stack trace, explain the likely cause and directly suggest a fix to validate.
Our selection covers assisted debugging in the editor through automatic fix pull requests.

The code editor reimagined around AI.
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The AI GitHub agent that transforms your issues into merge-ready pull requests without leaving your editor
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The AI assistant that completes and writes code in your editor.
Read the review →| Tool | Best for | Price | FR | Level | Verdict | Rating | |
|---|---|---|---|---|---|---|---|
Cursor | The code editor reimagined around AI. | Freemium | 🇫🇷 | Intermediate | Excellent | ★ 4.7 | |
Sweep | The AI GitHub agent that transforms your issues into merge-ready pull requests without leaving your editor | Freemium | — | Intermediate | Good choice | ★ 3.8 | |
GitHub Copilot | The AI assistant that completes and writes code in your editor. | Paid | 🇫🇷 | Intermediate | Very good | ★ 4.6 | |
Sourcegraph Cody | Enterprise AI assistant that understands your entire multi-repo codebase for ultra-precise answers | Paid | — | Advanced | Good choice | ★ 3.9 | |
Snyk Code | Real-time static security analysis that detects vulnerabilities in your code from the IDE | Freemium | — | Intermediate | Good choice | ★ 4.2 |
Cursor and GitHub Copilot explain the error and propose a fix directly in the editor. Sweep goes further by automatically opening a fix pull request from a ticket. Sourcegraph Cody is useful for understanding a bug's impact on a large codebase.
Yes: Snyk Code scans code for security vulnerabilities and known bugs during writing, before even commit.
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