I Built a Full-Stack SaaS Using Only AI — Here’s What Actually Worked (And What Didn’t)

Author(s): Anand Panchal Originally published on Towards AI. A 30-day experiment with GitHub Copilot, Cursor, and Claude Code Well, not literally — but I challenged myself to build a complete full-stack application using only AI coding assistants: GitHub Copilot, Cursor, and Claude Code. No Stack Overflow. No writing functions from scratch. Just prompts, reviews, and debugging AI-generated code. The result? A working SaaS product in 2 weeks. But the journey exposed some uncomfortable truths about where AI helps and where it spectacularly fails.The article chronicles a 30-day experiment where the author built a full-stack SaaS application solely using AI coding assistants, revealing both successes and challenges encountered throughout the process. It highlights the effectiveness of AI in tasks like boilerplate generation and CRUD operations while also pointing out significant flaws in system design, security practices, and debugging processes. Ultimately, the author shares key lessons learned about AI’s strengths and limitations in software development. Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor. Published via Towards AI