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// docs / ai fix prompts

AI fix prompts ni veivuke

E tiko ena finding yadua e dua na Copy fix prompt button e ra ni remediation. Kiliki, paste ki Claude / Cursor / Copilot, ka rawata na agent na canonical fix recipe me baleta na vuln o ya ena framework ni nomu codebase β€” sega ni dua na Claude API call mai vei keitou.

Na sala e cakacaka kina

E rua na pieces of data e combine ena click:

  • The finding β€” the issue summary, affected surface, remediation guidance, and safe evidence needed to help your coding agent fix it.
  • Your app context β€” 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.

Na irairai ni prompt

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 β€” see https://cwe.mitre.org/data/definitions/79.html

Frameworks e tokoni

Keitou surface framework-specific snippets me baleta:

  • 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.

Vakayagataka mai nomu AI agent

Kevaka o sa wired up na MCP server, na same prompt e exposed me slash command. Mai Claude Desktop:

/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.

Na vuna keitou sega ni hit Claude ena click yadua

Ena launch keitou a consider calling the Anthropic API ena click yadua me refine na prompt kei codebase context. Keitou sega, baleta:

  • Na agent e paste kina na user sa tiko oti vua na codebase context β€” era vakayagataka tiko Cursor / Claude Desktop kei na nodra repo e open.
  • Server-side templating covers the common remediation paths without any per-click model call.
  • E rawa ni fire na API e muri e dua na opt-in β€œRefine with AI for my codebase” kevaka era vinakata users. Nikua, sega.
AI fix prompts ni veivuke β€” Docs Β· FixVibe