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Prbl

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Catch and fix vulnerabilities hiding in AI-generated code

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Overview

Comprehensive overview of Prbl

What is Prbl?

Prbl is a security scanner built for the age of AI coding. It spots which parts of your codebase were written by AI tools, then hunts for the specific bugs those tools tend to leave behind. After finding issues, it proposes minimal fixes and checks that your code still works the same way.

Top Features:

  • AI code detection: pinpoints which lines were generated by tools like Copilot and Cursor.
  • Targeted scanning: checks exactly where AI code meets your own existing logic.
  • Safe fixes: applies minimal patches and verifies your functions still behave correctly.

Use Cases:

  • Pull request review: comments directly on GitHub pull requests with proposed security fixes.
  • Automated CI scans: runs on every push through GitHub Actions to flag new risks.
  • Vibe coding cleanup: finds hardcoded secrets and injection flaws in rapidly built apps.

Who Can Use Prbl?

  • Solo developers: people shipping AI-assisted side projects who want a safety net before launch.
  • Startup teams: small teams moving fast and generating lots of AI code daily.
  • Security engineers: folks adding an AI-specific layer on top of existing scanners.

Pricing

  • Free ($0/month): includes five scans per day across three repositories for basic use.
  • Pro ($29/month): covers two hundred scans daily plus fifty rewriter credits monthly.
  • Team ($99/month): allows one thousand scans daily and up to ten team members.
  • Enterprise (from $500/month): unlimited members with dedicated support and deeper integrations.

Pros and Cons

Pros:

  • Specialized focus: catches AI-specific bugs that traditional scanners often miss completely.
  • Easy setup: connects to GitHub and starts commenting on pull requests quickly.
  • Verified fixes: rescans after patching to confirm vulnerabilities are actually resolved.

Cons:

  • GitHub centric: the workflow leans heavily on GitHub, limiting other platform users.
  • Newer tool: it has a smaller track record than long-established security scanners.
  • Credit limits: rewriter credits on lower plans may run out for busy teams.

FAQs:

1) Does it replace tools like Snyk or Semgrep?

No, it works alongside them as an extra layer focused on AI-generated code.

2) Which AI coding tools does it recognize?

It detects code from popular assistants like GitHub Copilot, Cursor, and similar generators.

3) Is there a free version?

Yes, the free plan gives five scans daily across three repositories.

4) How does it apply fixes safely?

It locks in function behavior first, then applies minimal patches and validates the result.

5) Can it run automatically?

Yes, GitHub Actions can trigger scans on every push or pull request.

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