I just dropped a new video where I build a complete SaaS application using Claude Code — from an empty directory to a fully working product with auth, payments, and a dashboard. No boilerplate. No manual coding. Just natural language prompts. Here's what the final app includes: • Next.js frontend with Shadcn + Tailwind • Supabase auth and database • Stripe lifetime payments • Email waitlist with admin dashboard • CSV export for collected emails • Referral system and analytics What made this different from my experience with other AI tools is how Claude Code handles the planning phase. Before writing a single line of code, it asked me to choose my stack, confirm features, and review the full architecture. Then it built everything including migrations, API routes, UI component in one session. I also walk through running it locally with Supabase + Docker so you can test everything before deploying. If you're building a SaaS (or thinking about it), this workflow is worth seeing.

1. Collaboration Tools (Linear, MS Teams, Slack, Zoom, Confluence) 2. Programming Languages (Java, JavaScript, Python, C#, Go) 3. API Development (REST, gRPC, Security, Encryption, Signing, Protocols) 4. Web Services (Nginx, Tomcat) 5. Cloud (AWS, Azure, Kubernetes) 6. Authentication (Tokens, OAuth2.0, JWT, Cookies) 7. Testing (TDD, Unit Test, E2E Test, Performance Testing) 8. Databases (Relational: MySQL, PostgreSQL; Non-Relational: MongoDB, Cassandra, Redis) 9. CI/CD (Jenkins, GitHub Actions, CircleCI, GitLab) 10. System DesignProtocols: TCP, UDP, DNS, Caching, Content Delivery Networks, Microservices Messaging, Architecture, Load Balancing, Sharding, Distributed Systems, Database Replication 11. Data Structures and Algorithms (Big O Notation, Recursion, Sorting, Trees, Graphs) 12. Design Patterns (Factory, Dependency Injection, Proxy, Observer, Facade) 13. AI Tools (Claude, ChatGPT, Prompt Engineering, Cursor Where are you in your journey?

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