// docs / ai fix prompts
Prompts ta' tiswija bl-AI
Kull finding għandu buttuna Copy fix prompt taħt ir-rimedjazzjoni. Ikklikkjaha, waħħalha f'Claude / Cursor / Copilot, u l-agent jikseb ir-riċetta kanonika tat-tiswija għal dik il-vuln fil-framework tal-codebase tiegħek — mingħajr sejħa Claude API mingħandna.
Kif jaħdem
Żewġ biċċiet data jingħaqdu fuq click:
- 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.
Kif jidher il-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 — see https://cwe.mitre.org/data/definitions/79.htmlFrameworks appoġġjati
Nuru snippets speċifiċi għal framework għal:
- Next.js, React, Vue, Nuxt, Svelte (quddiem)
- Express, Fastify (backend Node.js)
- 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.
Użah mill-agent AI tiegħek
Jekk qabbadt is-server MCP, l-istess prompt huwa espost bħala slash command. Minn 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.
Għaliex ma nsejħux lil Claude għal kull click
Fit-tnedija kkunsidrajna li nsejħu l-Anthropic API għal kull click biex nirfinaw il-prompt b'kuntest tal-codebase. Ma għamilniex hekk, għax:
- L-agent li l-utent iwaħħal fih diġà għandu kuntest tal-codebase — qed juża Cursor / Claude Desktop bir-repo tiegħu miftuħ.
- Server-side templating covers the common remediation paths without any per-click model call.
- Opt-in “Refine with AI for my codebase” jista' jqabbad l-API aktar tard jekk l-utenti jriduh. Illum, le.
