// docs / ai fix prompts
AI tuzatish promptlari
Har bir finding ostida Copy fix prompt tugmasi bor. Bosing, Claude / Cursor / Copilot ichiga qo‘ying, va agent shu vuln uchun codebase framework’iga mos canonical fix recipe oladi — bizdan Claude API chaqiruvi yo‘q.
Qanday ishlaydi
Click paytida ikki data piece combine bo‘ladi:
- 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 qanday ko‘rinadi
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.htmlQo‘llab-quvvatlanadigan frameworks
Biz framework-specific snippets’ni quyidagilar uchun ko‘rsatamiz:
- 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.
AI agentingizdan foydalaning
Agar MCP server ulangan bo‘lsa, xuddi shu prompt slash command sifatida exposed. Claude Desktop’dan:
/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.
Nega har click’da Claude’ga bormaymiz
Launch’da har click uchun Anthropic API chaqirib, prompt’ni codebase context bilan refine qilishni ko‘rib chiqqanmiz. Qilmadik, chunki:
- User paste qiladigan agent’da codebase context already bor — ular repo ochiq turgan Cursor / Claude Desktop ishlatadi.
- Server-side templating covers the common remediation paths without any per-click model call.
- “Refine with AI for my codebase” opt-in keyin users xohlasa API fire qilishi mumkin. Bugun — yo‘q.
