App Analyzer Optimizer

App Analyzer & Optimizer (2026 Edition)

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English

Description

Deep application analysis and optimization skill. Performs architectural audits, bottleneck detection, bundle analysis, database query profiling, and AI-assisted code review across Next.js, React, Node.js, Go, Python, and Rust applications.

Trigger Conditions

• Auditing an existing codebase for architectural issues or technical debt.
• Detecting performance bottlenecks (slow API routes, large bundles, N+1 queries).
• Analyzing bundle size and suggesting code splitting opportunities.
• Reviewing code quality (complexity, duplication, dead code).
• Using AI-assisted tools to accelerate code review and analysis.

Analysis Protocol (5 Phases)

Phase 1: Architecture Discovery

# Map the entire project structure
find . -type f -name "*.ts" -o -name "*.tsx" -o -name "*.go" | head -100
# Count lines per file (find largest files)
find . -name "*.ts" -exec wc -l {} + | sort -rn | head -20
# Find circular dependencies (TypeScript/JS)
npx madge --circular --extensions ts,tsx src/

Phase 2: Bundle Analysis (Next.js / Vite)

# Next.js bundle analyzer
ANALYZE=true next build

# Or install dedicated tool
npx @next/bundle-analyzer

# Vite bundle visualization
npx vite-bundle-visualizer

# Check for duplicate dependencies
npx depcheck
npx bundle-phobia-cli check package.json

Key bundle red flags:

• Any single chunk > 500KB (uncompressed).
• Importing entire libraries (import _ from 'lodash' vs import debounce from 'lodash/debounce').
• Moment.js (replace with date-fns or Temporal).
• node_modules leaking into client bundle.

Phase 3: Database Query Analysis

-- PostgreSQL: Find slow queries
SELECT query, mean_exec_time, calls, total_exec_time
FROM pg_stat_statements
ORDER BY mean_exec_time DESC
LIMIT 20;

-- Find missing indexes (sequential scans on large tables)
SELECT schemaname, tablename, attname, n_distinct, correlation
FROM pg_stats
WHERE tablename = 'your_table'
ORDER BY n_distinct DESC;

-- Detect N+1 queries: Enable query logging
-- In Drizzle:
const db = drizzle(client, { logger: true });
-- In Prisma:
DATABASE_URL="...?connection_limit=5" prisma studio

Phase 4: AI-Assisted Code Review

Use AI tools to accelerate analysis:

AI review prompts for Gemini Agent:

Analyze all files in src/features/ and identify:
1. Functions longer than 30 lines
2. Duplicated business logic across files
3. Missing error handling in async functions
4. Components that directly call APIs (violating separation of concerns)

Phase 5: Performance Profiling

Frontend (React / Next.js):

# React DevTools Profiler — identify render bottlenecks
# Chrome DevTools > Performance tab > Record interaction

# Lighthouse CI — automated CWV tracking
npm install -g @lhci/cli
lhci autorun

Backend (Node.js):

# Built-in Node.js profiler
node --prof server.js
node --prof-process isolate-*.log > processed.txt

# Clinic.js — flamegraph, bubble chart, doctor
npm install -g clinic
clinic doctor -- node server.js
clinic flame -- node server.js

Go:

# Built-in pprof profiler
go tool pprof http://localhost:6060/debug/pprof/profile?seconds=30
go tool pprof -http=:8080 profile.out

Common Bottleneck Patterns & Fixes

Bahasa Indonesia

Integrasi Orkestrasi

Terhubung dan mengorkestrasi skill domain yang relevan seperti brainstorming, zero-to-prod-orchestrator, dan project-context-mapper untuk memastikan eksekusi yang kohesif.

Deskripsi

Skill analisis dan optimasi aplikasi mendalam. Melakukan audit arsitektur, deteksi bottleneck, analisis bundle, profiling query database, dan code review berbantuan AI di aplikasi Next.js, React, Node.js, Go, Python, dan Rust.

Kondisi Pemicu

• Mengaudit codebase yang ada untuk masalah arsitektur atau hutang teknis.
• Mendeteksi bottleneck performa (rute API lambat, bundle besar, query N+1).
• Menganalisis ukuran bundle dan menyarankan peluang code splitting.
• Meninjau kualitas kode (kompleksitas, duplikasi, kode mati).
• Menggunakan tool berbantuan AI untuk mempercepat code review dan analisis.

Protokol Analisis (5 Fase)

Fase 1: Penemuan Arsitektur

Petakan seluruh struktur proyek, hitung baris per file untuk menemukan file terbesar, dan deteksi dependensi circular dengan npx madge --circular.

Fase 2: Analisis Bundle (Next.js / Vite)

Gunakan ANALYZE=true next build atau npx vite-bundle-visualizer. Tanda bahaya bundle: chunk tunggal > 500KB, mengimpor library penuh, Moment.js, atau node_modules yang bocor ke bundle klien.

Fase 3: Analisis Query Database

Gunakan pg_stat_statements untuk menemukan query lambat. Cari scan sequential pada tabel besar (tanda indeks yang hilang). Aktifkan logging query di Drizzle/Prisma untuk mendeteksi pola N+1.

Fase 4: Code Review Berbantuan AI

Gunakan CodeRabbit untuk review PR otomatis, Sourcegraph Cody untuk pencarian semantik seluruh codebase, dan Gemini Agent dengan prompt analisis spesifik untuk menemukan fungsi panjang, logika bisnis yang diduplikasi, dan error handling yang hilang.

Fase 5: Profiling Performa

• Frontend: React DevTools Profiler, Lighthouse CI.
• Backend Node.js: node --prof, Clinic.js untuk flamegraph.
• Go: go tool pprof untuk CPU dan memory profiling.

Pola Bottleneck Umum & Perbaikan

Orchestration & Integration

• Integrates with performance-web-vitals and production-ready-hardener.