/**
 * AI Lint Prompt Engineering
 */
import type { IssueType } from './types';
export declare const LINT_PROMPT = "Analyze this Jinja2/Django template for issues.\n\nTEMPLATE:\n```jinja\n{{TEMPLATE}}\n```\n\nCheck for:\n\n1. SECURITY\n   - XSS vulnerabilities (unescaped user input, |safe on untrusted data)\n   - Variables in onclick/onerror/javascript: without escapejs\n   - Sensitive data exposure (passwords, tokens, API keys)\n   - SQL/command injection patterns\n\n2. PERFORMANCE\n   - Heavy filters inside loops (date, filesizeformat)\n   - Repeated filter calls on same value (use {% with %})\n   - N+1 query patterns (accessing relations in loops)\n\n3. ACCESSIBILITY\n   - Images without alt text\n   - Forms without labels\n   - Missing ARIA attributes on interactive elements\n   - Poor heading hierarchy\n\n4. BEST PRACTICES\n   - {% for %} without {% empty %}\n   - Deeply nested conditionals (>3 levels)\n   - Magic numbers/strings (should be variables)\n   - Deprecated filter usage\n\nRespond ONLY with valid JSON (no markdown, no explanation):\n{\n  \"issues\": [\n    {\n      \"line\": 1,\n      \"type\": \"security|performance|accessibility|best-practice\",\n      \"severity\": \"error|warning|suggestion\",\n      \"message\": \"Brief description\",\n      \"suggestion\": \"How to fix\"\n    }\n  ]\n}\n\nIf no issues found, return: {\"issues\": []}";
/**
 * Build prompt with optional category filter
 */
export declare function buildPrompt(categories?: IssueType[]): string;
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