9195df186c
Features: - Next.js 16 + TypeScript + Tailwind CSS - 6 Production-Ready AI Agents (Requirements → Deployment) - Production Guides (Error Tracking, Security, Performance, Scaling) - Feature Changelog System (Code Reuse) - PM-Friendly Documentation - Supabase-Ready (optional) - shadcn/ui-Ready - Vercel Deployment-Ready Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
265 lines
9.2 KiB
Markdown
265 lines
9.2 KiB
Markdown
# Template Overview – AI Coding Starter Kit
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**Erstellt:** 2026-01-10
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**Version:** 1.3.0
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**Für:** Production-Ready AI-Powered Development Template
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---
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## Was ist in diesem Template?
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### ✅ Vollständig konfiguriertes Next.js 16 Projekt
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- TypeScript (strict mode)
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- Tailwind CSS (configured)
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- ESLint 9 (Next.js defaults)
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- App Router (not Pages Router)
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- Responsive Starter Page
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- Supabase-Ready (optional)
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### ✅ 6 Production-Ready AI Agents (in `.claude/agents/`)
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1. **requirements-engineer.md** – Feature Specs mit interaktiven Fragen
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2. **solution-architect.md** – PM-friendly Tech-Design (keine Code-Snippets)
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3. **frontend-dev.md** – React Components + Automatic Handoff zu Backend/QA
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4. **backend-dev.md** – Supabase APIs + **Performance Best Practices**
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5. **qa-engineer.md** – Manual Testing + Regression Tests
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6. **devops.md** – Vercel Deployment + **Production-Ready Essentials**
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### ✅ Production-Ready Features (NEW in v1.3)
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**DevOps Agent enthält:**
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- Error Tracking Setup (Sentry)
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- Security Headers (XSS/Clickjacking Protection)
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- Environment Variables Best Practices
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- Performance Monitoring (Lighthouse)
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**Backend Agent enthält:**
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- Database Indexing Guidelines
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- Query Performance Optimization (N+1 Problem)
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- Caching Strategy (Next.js)
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- Input Validation (Zod)
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- Rate Limiting (optional)
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### ✅ Project Structure (best practices)
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```
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ai-coding-starter-kit/
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├── .claude/
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│ └── agents/ ← 6 AI Agents (Production-Ready)
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├── features/ ← Feature Specs (Requirements Engineer creates these)
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│ └── README.md ← How to write Feature Specs
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├── test-reports/ ← QA Test Reports (QA Engineer creates these)
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│ └── README.md ← Test Report Format
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├── src/
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│ ├── app/ ← Pages (Next.js App Router)
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│ ├── components/ ← React Components
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│ │ └── ui/ ← shadcn/ui components (add as needed)
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│ └── lib/ ← Utilities
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│ ├── supabase.ts ← Supabase Client (commented out by default)
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│ └── utils.ts ← Helper Functions
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├── public/ ← Static files (favicon, images)
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├── PROJECT_CONTEXT.md ← Project Documentation (updated with Prod-Ready notes)
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├── FEATURE_CHANGELOG.md ← Feature Tracking (Agents read this!)
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├── TEMPLATE_CHANGELOG.md ← Template Version History (v1.0 - v1.3)
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├── HOW_TO_USE_AGENTS.md ← Agent Usage Guide
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├── .env.local.example ← Environment Variables Template
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└── package.json ← Dependencies (ESLint 9, Supabase, Tailwind)
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```
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### ✅ Documentation
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- **README.md** – Quick-Start Guide
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- **PROJECT_CONTEXT.md** – Project Template (with Production-Ready section)
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- **FEATURE_CHANGELOG.md** – Feature Tracking System (Agents use this!)
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- **TEMPLATE_CHANGELOG.md** – Template Version History
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- **HOW_TO_USE_AGENTS.md** – How to use Agents (not Skills!)
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- **features/README.md** – Feature Spec Guidelines
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- **test-reports/README.md** – Test Report Format
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### ✅ Agent Workflow Features
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- **Interactive Requirements:** `AskUserQuestion` Tool für strukturierte Inputs
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- **PM-Friendly Output:** Solution Architect schreibt für Product Manager, nicht für Devs
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- **Automatic Handoffs:** Frontend → Backend Check → QA Handoff (automatic)
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- **FEATURE_CHANGELOG.md Integration:** Alle Agents lesen bestehende Features (Code-Reuse!)
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- **Production Checklists:** In DevOps + Backend Agents integriert
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### ✅ Ready-to-Deploy
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- Vercel-optimized
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- Environment Variables Template
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- .gitignore (Node, .env, etc.)
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- TypeScript + Tailwind + ESLint configured
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- Production-Ready Guides included
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---
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## Was der User noch tun muss
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### 1. Template anpassen
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- **PROJECT_CONTEXT.md** ausfüllen (Project Name, Vision, Features)
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- **package.json** name anpassen (optional)
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### 2. Supabase einrichten (optional)
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Falls Backend genutzt wird:
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- Supabase Project erstellen
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- `.env.local` mit Credentials füllen
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- `src/lib/supabase.ts` aktivieren (uncomment code)
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### 3. shadcn/ui Components hinzufügen (nach Bedarf)
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```bash
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npx shadcn@latest add button
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npx shadcn@latest add card
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# etc.
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```
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### 4. Erste Feature bauen
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```bash
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# Tell Claude in Chat:
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"Read .claude/agents/requirements-engineer.md and create a feature spec for [your idea]"
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```
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### 5. Production Setup (beim ersten Deployment)
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Folge DevOps Agent Guides:
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- Error Tracking (Sentry) – 5 Minuten Setup
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- Security Headers (`next.config.js`) – Copy-Paste
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- Performance Check (Lighthouse) – Built-in Chrome DevTools
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---
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## Template Updates (Changelog)
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### v1.3.0 (2026-01-12) – Production-Ready Essentials
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- ✅ DevOps Agent: Error Tracking, Security Headers, Performance Monitoring
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- ✅ Backend Agent: Database Indexing, Query Optimization, Caching, Input Validation
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- ✅ PROJECT_CONTEXT.md: Production-Ready Features Section
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### v1.2.0 (2026-01-10) – FEATURE_CHANGELOG System
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- ✅ Alle Agents lesen FEATURE_CHANGELOG.md (Code-Reuse!)
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- ✅ DevOps Agent updated FEATURE_CHANGELOG.md nach Deployment
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### v1.1.0 (2026-01-10) – Agent System Improvements
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- ✅ `.claude/skills/` → `.claude/agents/` umbenannt (kein Conflict mit Claude Skills)
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- ✅ Requirements Engineer nutzt `AskUserQuestion` Tool
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- ✅ Solution Architect: PM-friendly Output (keine Code-Snippets)
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- ✅ Frontend Developer: Automatic Backend Check + QA Handoff
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- ✅ HOW_TO_USE_AGENTS.md erstellt
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### v1.0.0 (2026-01-10) – Initial Release
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- ✅ Next.js 16 + TypeScript + Tailwind CSS
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- ✅ 6 AI Agents (Requirements, Architect, Frontend, Backend, QA, DevOps)
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- ✅ Feature Specs System (`/features/PROJ-X.md`)
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- ✅ PROJECT_CONTEXT.md Template
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---
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## GitHub Repository Setup
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### Schritt 1: Neues GitHub Repo erstellen
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1. Gehe zu GitHub.com
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2. Erstelle neues Repo: `ai-coding-starter-kit`
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3. **Wichtig:** Erstelle KEIN README, keine .gitignore (alles schon im Template)
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### Schritt 2: Push Template zu GitHub
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```bash
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cd /Users/alexandersprogis/alex-bmad-projects/ai-coding-starter-kit
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git init
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git add .
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git commit -m "Initial commit: AI Coding Starter Kit v1.3.0 (Production-Ready)"
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git branch -M main
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git remote add origin https://github.com/YOUR_USERNAME/ai-coding-starter-kit.git
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git push -u origin main
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```
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### Schritt 3: Im Guide/Lead Magnet verlinken
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Ersetze `YOUR_USERNAME` mit deinem echten GitHub Username
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---
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## Template Maintenance
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### Wenn Next.js updatet
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```bash
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npm install next@latest react@latest react-dom@latest
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npm install eslint-config-next@latest
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```
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### Wenn Agent-Files upgedatet werden
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- Kopiere neue Versionen
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- Paste in `.claude/agents/`
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- Update TEMPLATE_CHANGELOG.md
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### Wenn neue Agents hinzukommen
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- Füge neuen Agent-File zu `.claude/agents/` hinzu
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- Update README.md (Liste der verfügbaren Agents)
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- Update PROJECT_CONTEXT.md (Agent-Team Verantwortlichkeiten)
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---
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## User Testing Checklist
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Bevor du das Template als Lead Magnet veröffentlichst:
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### Basic Functionality
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- [ ] `npm install` funktioniert ohne Errors
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- [ ] `npm run dev` startet Server auf localhost:3000
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- [ ] `npm run build` läuft ohne Errors
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- [ ] Starter Page zeigt korrekt an
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### Agent System
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- [ ] Alle 6 Agents sind in `.claude/agents/` vorhanden
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- [ ] Agents sind vollständig (keine TODOs oder Placeholders)
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- [ ] FEATURE_CHANGELOG.md ist vorhanden (mit Template)
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- [ ] TEMPLATE_CHANGELOG.md ist aktuell (v1.3.0)
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### Documentation
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- [ ] `PROJECT_CONTEXT.md` ist vollständig (inkl. Production-Ready Section)
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- [ ] `README.md` hat klare Quick-Start Anleitung
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- [ ] `HOW_TO_USE_AGENTS.md` erklärt Agent-Nutzung
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- [ ] `features/README.md` erklärt Feature Spec Format
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- [ ] `test-reports/README.md` erklärt Test Report Format
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### Configuration
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- [ ] `.env.local.example` ist vorhanden
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- [ ] `.gitignore` enthält `.env.local`, `node_modules`, etc.
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- [ ] `package.json` Dependencies sind aktuell
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### Production-Ready Guides
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- [ ] DevOps Agent: Error Tracking Section vollständig
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- [ ] DevOps Agent: Security Headers Section vollständig
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- [ ] Backend Agent: Database Indexing Section vollständig
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- [ ] Backend Agent: Input Validation Section vollständig
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### GitHub
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- [ ] GitHub Repo ist public (für Lead Magnet)
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- [ ] Clone + Install funktioniert in frischem Ordner
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- [ ] README hat korrekte Clone-URL
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---
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## Fertig! 🚀
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**Template ist bereit für:**
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1. Push zu GitHub
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2. Lead Magnet / Public Template
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3. User Testing
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4. Production-Ready App Development
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**Nächster Schritt:** Push zu GitHub, teste Clone in frischem Ordner, dann veröffentlichen!
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---
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## Lead Magnet Positioning
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**Headline:** "AI Coding Starter Kit – Production-Ready Template with AI-Powered Development Workflow"
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**Key Features:**
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- ✅ 6 Specialized AI Agents (Requirements → Deployment)
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- ✅ Production-Ready Guides (Error Tracking, Security, Performance)
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- ✅ Automatic Code-Reuse System (FEATURE_CHANGELOG)
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- ✅ PM-Friendly Documentation (no code in specs)
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- ✅ Built for Scale (Database Indexing, Query Optimization)
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**Target Audience:**
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- Product Managers ohne Deep-Tech Background
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- Solo Founders building MVPs
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- Small Teams (2-5 people) ohne DevOps Engineer
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**Value Proposition:**
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"Build production-ready, scalable apps faster – with AI agents handling Requirements, Architecture, Development, QA, and Deployment."
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