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

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I Built a Full-Stack SaaS Using Only AI – Here's What Really Worked (And What Didn't)

Last updated on February 19, 2026 by Editorial Team

Author(s): Anand Panchal

Originally published on Towards AI.

30-day experiment with GitHub Copilot, cursors, and cloud code

Well, not literally – but I set myself the challenge of building an entire full-stack application using only AI coding assistants: GitHub Copilot, Cursor, and Cloud Code. No stack overflow. No writing work from the beginning. Simply pointing, reviewing, and debugging AI-generated code.

I Built a Full-Stack SaaS Using Only AI – Here's What Really Worked (And What Didn't)

outcome? A working SaaS product in 2 weeks. But the journey revealed some uncomfortable truths about where AI helps and where it surprisingly fails.

The article describes a 30-day experiment where the author built a full-stack SaaS application entirely using AI coding assistants, revealing both the successes and challenges encountered throughout the process. It highlights the effectiveness of AI in tasks such as boilerplate generation and CRUD operations, while also pointing out significant flaws in system design, security practices, and debugging processes. Finally, the author shares key lessons learned about the strengths and limitations of AI in software development.

Read the entire blog for free on Medium.

Published via Towards AI


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Comment: The content of the article represents the views of the contributing authors and not those of AI.


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