Expert guide for automated and manual Web Accessibility (a11y) testing — axe-core, Pa11y, Playwright a11y, screen reader testing, and WCAG 2.2 Level AA/AAA compliance / Panduan ahli pengujian aksesibilitas web.
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Methodological guide for the AI Agent to safely and systematically translate, refactor, and modernize giant legacy codebases (PHP, Python 2, old React) into modern stacks.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
<a name="english"></a>
A systematic, risk-mitigated engineering methodology for migrating large, business-critical legacy codebases (PHP 5/7, Python 2, jQuery, old React Class Components, AngularJS) to modern 2026 enterprise stacks (Next.js 15, TypeScript 5.8+, Bun, Rust, Go) without business downtime or regression. Employs the Strangler Fig pattern, Shadow Execution Harnesses, and AST-driven module decomposition to prevent context exhaustion and hallucinated logic.
┌────────────────────────────────────────────────────────┐
│ 1. MAP & ISOLATE (AST Boundary Definition) │
│ Document I/O contracts in `migration_plan.md` │
└───────────────────────────┬────────────────────────────┘
│
▼
┌────────────────────────────────────────────────────────┐
│ 2. SHADOW HARNESS IMPLEMENTATION │
│ Run legacy and new code in parallel; log diffs │
└───────────────────────────┬────────────────────────────┘
│
▼
┌────────────────────────────────────────────────────────┐
│ 3. SIDE-BY-SIDE REFACTORING (Function-by-Function) │
│ Maintain old file while building typed modern clone │
└───────────────────────────┬────────────────────────────┘
│
▼
┌────────────────────────────────────────────────────────┐
│ 4. TRAFFIC CUTOVER & CLEANUP │
│ 100% parity verified ──► Deprecate legacy file │
└────────────────────────────────────────────────────────┘
// src/migration/shadow-harness.ts
export interface ShadowComparison<T> {
legacyOutput: T;
modernOutput: T;
isMatch: boolean;
discrepancies?: string[];
}
export async function executeWithShadowTesting<TInput, TOutput>(
input: TInput,
legacyFn: (data: TInput) => Promise<TOutput>,
modernFn: (data: TInput) => Promise<TOutput>,
onDiscrepancy?: (diff: ShadowComparison<TOutput>) => void
): Promise<TOutput> {
// 1. Run legacy function as ground truth for customer
const legacyPromise = legacyFn(input);
// 2. Execute modern implementation in shadow mode (non-blocking)
const modernPromise = modernFn(input).catch((err) => {
console.error('[Shadow-Harness] Modern function threw error:', err);
return null as unknown as TOutput;
});
const [legacyResult, modernResult] = await Promise.all([legacyPromise, modernPromise]);
// 3. Compare JSON representation for structural equality
const legacyJson = JSON.stringify(legacyResult);
const modernJson = JSON.stringify(modernResult);
if (legacyJson !== modernJson) {
const diffReport: ShadowComparison<TOutput> = {
legacyOutput: legacyResult,
modernOutput: modernResult,
isMatch: false,
};
if (onDiscrepancy) onDiscrepancy(diffReport);
console.warn('[Shadow-Harness] Discrepancy detected between legacy and modern outputs.');
}
// Always return the legacy result during the shadow probation phase
return legacyResult;
}
order-calc.legacy.php -> order-calc.service.ts).// ...rest of code).any, no phantom SDK imports).autonomous-tdd-debugger: Runs comparison tests against legacy fixtures to prove zero regression.prd-architect: Documents reverse-engineered business rules into PRD.md before coding.database-orm-expert: Bridges legacy SQL schemas with Prisma or Drizzle ORM models.anti-slop: Eliminates lazy mock returns and incomplete stubs during refactoring.<a name="bahasa-indonesia"></a>
Metodologi rekayasa sistematis dan aman bagi agen AI untuk memigrasikan basis kode warisan (legacy codebase) skala besar (PHP 5/7, Python 2, jQuery, React Class Component lawas) ke stack modern 2026 (Next.js 15, TypeScript 5.8+, Bun, Rust, Go) tanpa gangguan operasional (zero downtime) dan tanpa regresi logika bisnis. Menerapkan pola Strangler Fig, Shadow Execution, dan dekomposisi berbasis pohon sintaks (AST).
UserService.legacy.php -> user-service.ts) agar kode lama tetap menjadi acuan kebenaran.// TODO: sisa kode).any.// Membandingkan output kode lama vs baru secara real-time
const total = await executeWithShadowTesting(
cartData,
(cart) => hitungTotalLegacyPHP(cart),
(cart) => hitungTotalModernTS(cart),
(diff) => catatKeLogMonitoring(diff)
);
autonomous-tdd-debugger: Memvalidasi kesesuaian output antara fungsi lama dan fungsi baru.prd-architect: Mencatat aturan bisnis yang diekstraksi dari kode lama ke dalam dokumentasi formal.database-orm-expert: Memetakan kueri SQL lama ke skema ORM modern.anti-slop: Memastikan kode modern yang dihasilkan utuh, bersih, dan dapat langsung dieksekusi.还没有评价。欢迎分享你的使用感受。
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Expert guide for automated and manual Web Accessibility (a11y) testing — axe-core, Pa11y, Playwright a11y, screen reader testing, and WCAG 2.2 Level AA/AAA compliance / Panduan ahli pengujian aksesibilitas web.
中文简介正在准备中。当前显示原文说明。
Expert guide for intelligent model cascading and routing — complexity-scored task routing from Flash/Haiku to Sonnet/Opus/Astra, dynamic escalation with quality gates, 40-60% token cost reduction while maintaining output quality / Panduan ahli untuk kaskade dan routing model cerdas — routing tugas berbasis skor kompleksitas dari Flash/Haiku ke Sonnet/Opus/Astra, eskalasi dinamis dengan gerbang kualitas, pengurangan biaya token 40-60% dengan kualitas output terjaga.
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Expert guide for Affective Computing, emotional AI, and real-time sentiment analysis through native multimodal tokens (voice intonation and facial micro-expressions) / Panduan ahli komputasi afektif, AI emosional, dan analisis sentimen real-time melalui token multimodal native.
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Expert guide for AI-assisted coding workflows — agentic code generation, multi-agent code swarms, self-healing CI/CD, automated PR review, spec-to-code pipelines, codebase knowledge graphs, and human-in-the-loop approval gates / Panduan ahli untuk workflow pengkodean berbasis AI — generasi kode agentic, code swarm multi-agen, CI/CD self-healing, review PR otomatis, pipeline spec-to-code, knowledge graph codebase, dan gate persetujuan human-in-the-loop.
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Expert guide for autonomous Machine-to-Machine (M2M) agent settlement, dual-rail fiat & stablecoin micro-clearing, dynamic budget envelopes, and cryptographic agent invoicing / Panduan ahli settlement otonom antar-agen (M2M), kliring mikro dual-rail fiat & stablecoin, pagu anggaran dinamis, dan penagihan agen kriptografis.
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Expert guide for long-term episodic memory integration (Mem0 v2, Letta/MemGPT, Zep v2), memory tier architecture, pgvector HNSW storage, and unified context management for autonomous AI agents / Panduan ahli untuk integrasi memori episodik jangka panjang (Mem0 v2, Letta/MemGPT, Zep v2), arsitektur tier memori, penyimpanan pgvector HNSW, dan manajemen konteks terpadu untuk agen AI otonom.
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