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

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

Last Updated on February 19, 2026 by Editorial Team

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.

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

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.

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