// docs / ai fix prompts
AI නිවැරදි කිරීමේ ප්රොම්ප්ට්
සෑම finding එකකම remediation යටතේ Copy fix prompt button එකක් ඇත. එය click කර Claude / Cursor / Copilot වෙත paste කරන්න; agent එකට ඔබගේ codebase framework එකට ගැළපෙන එම vuln සඳහා canonical fix recipe ලැබේ — අපෙන් Claude API call එකක් නැත.
එය ක්රියා කරන ආකාරය
Click කරන විට data කෑලි දෙකක් combine වේ:
- 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 එක පෙනෙන ආකාරය
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.htmlසහාය දක්වන frameworks
අපි framework-specific snippets surface කරන්නේ:
- 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.
ඔබගේ AI agent වෙතින් එය භාවිතා කරන්න
ඔබ MCP server wire කර ඇත්නම්, එම prompt එක slash command එකක් ලෙස expose වේ. Claude Desktop වෙතින්:
/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.
අපි click එකකට Claude hit නොකරන්නේ ඇයි
Launch කිරීමේදී, prompt එක codebase context සමඟ refine කිරීමට එක් click එකකට Anthropic API call කිරීම අපි සලකා බැලුවෙමු. අපි එසේ නොකළේ:
- User paste කරන agent එකට codebase context දැනටමත් ඇත — ඔවුන් repo open කර Cursor / Claude Desktop භාවිතා කරයි.
- Server-side templating covers the common remediation paths without any per-click model call.
- Users කැමති නම් “Refine with AI for my codebase” opt-in එකක් පසුව API fire කළ හැක. අද, නැත.
