I played 1,000 hands of online poker and built a web app with Cursor AI

Twelve hours of poker led to a 700-line web application that its creator never actually coded himself.

A poker enthusiast spent two weeks grinding through hands at PokerStars and local casinos, then dove into building Python scripts to analyze his gameplay. What started as simple hand history exports quickly spiraled into conversations with AI coding assistant Cursor, ultimately producing a full-featured Laravel web app complete with profit-loss charts, automated balance checks, and complex poker statistics calculations.

The twist? Not a single line was written by human hands.

"The insane part is I didn't write a single line of this code," the developer noted. "All of this was created through conversations with the Cursor AI agent."

The process resembled working with a human programmer, but compressed into real-time exchanges. A 500 error would appear, get reported to the AI, which would check logs, identify bugs, and deploy fixes within minutes rather than days.

The poker angle proved secondary to a larger revelation about AI's programming capabilities. Just years ago, ChatGPT couldn't perform basic math or write functional Python scripts. Now, complex parsing algorithms for poker hand histories emerge through simple conversation.

The most challenging piece involved teaching AI poker fundamentals to parse intricate hand data, requiring collaborative debugging sessions where human intuition guided artificial intelligence through edge cases and rule variations.