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ai-coding-starter-kit/TEMPLATE_OVERVIEW.md
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“alexvisualmakers” 9195df186c Initial commit: AI Coding Starter Kit v1.3.0 (Production-Ready)
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>
2026-01-12 08:41:31 +01:00

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