Ama-AI fix prompts

Isebenza kanjani

Izingcezu ezimbili zedatha ziyahlangana uma uchofoza:

• 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.

I-prompt ibukeka kanjani

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

Ama-frameworks asekelwayo

Siveza ama-snippets aqondene ne-framework ku:

• 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.

Yisebenzise ku-agent yakho ye-AI

Uma usuxhume iseva ye-MCP, i-prompt efanayo ivezwa njengomyalo we-slash. Kusuka ku-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.

Kungani singashayi i-Claude kuzo zonke izichofozo

Ngesikhathi sokuqala sacabanga ukubiza i-Anthropic API kuzo zonke izichofozo ukuze sicwenge i-prompt nge-context ye-codebase. Asikwenzanga, ngoba:

• I-agent umsebenzisi anamathisela kuyo ivele ine-context ye-codebase — basebenzisa i-Cursor / Claude Desktop ne-repo yabo ivuliwe.
• Server-side templating covers the common remediation paths without any per-click model call.
• Inketho ethi “Refine with AI for my codebase” ingashisa i-API kamuva uma abasebenzisi beyifuna. Namuhla, cha.