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// docs / ai fix prompts

AI fix prompts

ಪ್ರತಿ finding ನಲ್ಲಿ remediation ಕೆಳಗೆ Copy fix prompt button ಇರುತ್ತದೆ. ಅದನ್ನು click ಮಾಡಿ, Claude / Cursor / Copilot ಗೆ paste ಮಾಡಿ, ನಿಮ್ಮ codebase framework ನಲ್ಲಿ ಆ vuln ಗಾಗಿ canonical fix recipe ಅನ್ನು agent ಪಡೆಯುತ್ತದೆ; ನಮ್ಮಿಂದ Claude API call ಇಲ್ಲ.

ಇದು ಹೇಗೆ ಕೆಲಸ ಮಾಡುತ್ತದೆ

Click ಮಾಡಿದಾಗ ಎರಡು data pieces ಸೇರಿಕೊಳ್ಳುತ್ತವೆ:

  • The finding — the issue summary, affected surface, remediation guidance, and safe evidence needed to help your coding agent fix it.
  • Your app context — FixVibe uses scan context when available to choose a framework-aware remediation shape, and falls back to a generic recipe when it cannot infer enough context.

Fix prompts are rendered server-side from FixVibe remediation guidance. They are designed for copy-paste use in Cursor, Claude Desktop, Copilot, or another coding agent without exposing the internal prompt registry in the browser.

Prompt ಹೇಗೆ ಕಾಣುತ್ತದೆ

Fix the "Reflected XSS in /search?q=" vulnerability at /search.

Issue: Query parameter q is rendered into the response body without
escaping; an attacker can inject <script> via crafted URLs.

Codebase context: Next.js.

Recommended fix:
In Next.js, render user-supplied values through JSX ({value}) so React's
automatic escaping kicks in. For server components rendering rich HTML,
sanitize with DOMPurify (server-side via JSDOM) before output.

Constraints:
- Don't break existing tests; run the test suite after the change.
- Match the codebase's existing style and lint config.
- Add a brief comment explaining the security reasoning only where the
  fix would otherwise look arbitrary.
- If the fix needs a new dependency, install it via the project's
  package manager (npm / pnpm / pip / bundle / composer).

Reference: CWE-79 — see https://cwe.mitre.org/data/definitions/79.html

ಬೆಂಬಲಿತ frameworks

ನಾವು framework-specific snippets ಅನ್ನು ಇವುಗಳಿಗೆ surface ಮಾಡುತ್ತೇವೆ:

  • Next.js, React, Vue, Nuxt, Svelte (frontend)
  • Express, Fastify (Node.js backend)
  • Django, Flask (Python)
  • Ruby on Rails
  • Laravel (PHP)
  • ASP.NET Core fallback guidance

Framework context is best-effort. If FixVibe cannot infer enough safely from the scan, the prompt asks your coding agent to inspect the repository before applying the fix.

ನಿಮ್ಮ AI agent ನಿಂದ ಬಳಸಿ

ನೀವು MCP server wire ಮಾಡಿದ್ದರೆ, ಅದೇ prompt slash command ಆಗಿ exposed. Claude Desktop ನಿಂದ:

/fixvibe-fix finding_id=550e8400-e29b-41d4-a716-446655440000

The server looks up the finding, applies available scan context, renders the remediation prompt, and injects it into your conversation as the user message. No third-party LLM API call is made by FixVibe for this templated prompt.

ಪ್ರತಿ click ಗೆ Claude ಅನ್ನು ಯಾಕೆ hit ಮಾಡುವುದಿಲ್ಲ

Launch ಸಮಯದಲ್ಲಿ, codebase context ಜೊತೆ prompt refine ಮಾಡಲು ಪ್ರತಿ click ಗೆ Anthropic API call ಮಾಡುವುದನ್ನು ನಾವು ಪರಿಗಣಿಸಿದ್ದೇವೆ. ಮಾಡಲಿಲ್ಲ, ಏಕೆಂದರೆ:

  • User paste ಮಾಡುವ agent ಗೆ codebase context already ಇದೆ: ಅವರು repo open ಮಾಡಿಕೊಂಡ Cursor / Claude Desktop ಬಳಸುತ್ತಿದ್ದಾರೆ.
  • Server-side templating covers the common remediation paths without any per-click model call.
  • Users ಬಯಸಿದರೆ “Refine with AI for my codebase” opt-in ಮುಂದೆ API fire ಮಾಡಬಹುದು. ಇಂದು, ಇಲ್ಲ.
AI fix prompts — Docs · FixVibe