// docs / ai fix prompts
AI-rættingar-promptar
Hvørt finding hevur ein Copy fix prompt-knøtt undir bøtingini. Trýst á hann, set hann inn í Claude / Cursor / Copilot, og agenturin fær kanonisku rættingaruppskriftina fyri ta veikleikan í framework'inum hjá tínari codebase — uttan nakað Claude API-kall frá okkum.
Hvussu tað riggar
Tvey dátustykki koma saman við klikki:
- 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.
Hvussu prompturin sær út
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.htmlStuðlað frameworks
Vit vísa framework-serstakar snippets fyri:
- Next.js, React, Vue, Nuxt, Svelte (framendi)
- Express, Fastify (Node.js bakendi)
- 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.
Brúka tað frá tínum AI-agenti
Um tú hevur bundið MCP tænastaran inn, er sami promptur útsettur sum slash command. Frá 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.
Hví vit ikki kalla Claude fyri hvørt klikk
Við launch umhugsaðu vit at kalla Anthropic API fyri hvørt klikk fyri at fínpussa promptin við codebase-konteksti. Tað gjørdu vit ikki, tí:
- Agenturin, sum brúkarin setur inn í, hevur longu codebase-kontekst — tey brúka Cursor / Claude Desktop við opnum repo.
- Server-side templating covers the common remediation paths without any per-click model call.
- Ein “Refine with AI for my codebase”-opt-in kundi seinni latið API'ið fire'a, um brúkarar vilja tað. Í dag: nei.
