AI fix prompts

આ કેવી રીતે કામ કરે છે

Click પર બે data pieces જોડાય છે:

• 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 કેવો દેખાય છે

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

સમર્થિત frameworks

અમે framework-specific snippets આ માટે surface કરીએ છીએ:

• 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.

તમારા AI agent માંથી વાપરો

જો તમે MCP server wire કર્યો હોય, તો એ જ prompt slash command તરીકે exposed છે. Claude Desktop માંથી:

/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.

અમે દરેક click પર Claude ને hit કેમ કરતા નથી

Launch સમયે અમે codebase context સાથે prompt refine કરવા દરેક click પર Anthropic API call કરવાનો વિચાર કર્યો હતો. અમે ન કર્યું, કારણ કે:

• User paste કરે છે તે agent પાસે codebase context already છે: તેઓ repo open રાખીને Cursor / Claude Desktop વાપરે છે.
• Server-side templating covers the common remediation paths without any per-click model call.
• Users ઇચ્છે તો “Refine with AI for my codebase” opt-in પછી API fire કરી શકે. આજે, નહીં.