Reflecting on two years building Pythagora, our learnings about the future of development, and why the current wave of AI coding tools is solving the wrong problem. After two years building Pythagora and watching teams create production applications that generate 9,000 lines of code in 10 hours, I want

AI platforms are great at building functional apps quickly, but they often skip basic security measures. Here are five copy-paste prompts that will add essential security to any AI-generated application. 1. Input Sanitization The Problem: AI platforms rarely validate user input properly, leaving your app vulnerable to injection attacks. Copy

Your AI-generated app was working perfectly yesterday. Today, it's throwing errors, displaying blank pages, or worse - silently failing without any indication of what went wrong. This scenario plays out thousands of times every day across AI development platforms. The app generation part works brilliantly, but when things

If you've built an application using AI tools, you've probably experienced that initial rush of seeing your idea transform into working software. The UI looks slick, basic features respond as expected, and the demo impresses everyone in the room and then.. problems start. Real users interact