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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

9.2 KiB
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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)

npx shadcn@latest add button
npx shadcn@latest add card
# etc.

4. Erste Feature bauen

# 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

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

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."

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