Madokezo ya marekebisho ya AI

Jinsi inavyofanya kazi

Vipande viwili vya data huunganishwa unapobofya:

• 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.

Dokezo linavyoonekana

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

Frameworks zinazoungwa mkono

Tunaonyesha snippets mahususi kwa framework kwa:

• 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.

Itumie kutoka kwa agent wako wa AI

Ikiwa umeunganisha seva ya MCP, dokezo lile lile huwekwa wazi kama amri ya slash. Kutoka 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.

Kwa nini hatupigi Claude kwa kila bofyo

Wakati wa uzinduzi tulifikiria kuita Anthropic API kwa kila bofyo ili kuboresha dokezo kwa context ya codebase. Hatukufanya hivyo, kwa sababu:

• Agent ambamo mtumiaji hubandika tayari ana context ya codebase — wanatumia Cursor / Claude Desktop wakiwa na repo yao imefunguliwa.
• Server-side templating covers the common remediation paths without any per-click model call.
• Chaguo la “Refine with AI for my codebase” linaweza kuanzisha API baadaye ikiwa watumiaji watalitaka. Leo, hapana.