AI taisymo raginimai

Kaip tai veikia

Spustelėjus sujungiami du duomenų gabalai:

• 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.

Kaip atrodo raginimas

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

Palaikomi karkasai

Pateikiame konkretiems karkasams skirtus fragmentus:

• Next.js, React, Vue, Nuxt, Svelte (priekinė dalis)
• Express, Fastify (Node.js galinė dalis)
• Django, Flask (Python aplinka)
• 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.

Naudokite iš savo AI agento

Jei prijungėte MCP serverį, tas pats raginimas pasiekiamas kaip slash komanda. Iš 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.

Kodėl nespustelėjus nekviečiame Claude

Paleidimo metu svarstėme kviesti Anthropic API kiekvienam spustelėjimui, kad patobulintume raginimą kodo bazės kontekstu. To nedarėme, nes:

• Agentas, į kurį naudotojas įklijuoja, jau turi kodo bazės kontekstą: jie naudoja Cursor / Claude Desktop su atidarytu repo.
• Server-side templating covers the common remediation paths without any per-click model call.
• Pasirenkama funkcija „Patobulinti su AI mano kodo bazei“ vėliau galėtų paleisti API, jei naudotojai to norėtų. Šiandien — ne.