AI made me faster. It didn’t make me better.
I'm Mitch. I didn't start in tech. I started in science. I studied biomedical science, worked in health IT, then moved into tech recruitment where I spent years talking to engineers about what they actually do every day.
That's when I decided I wanted to build, not just recruit builders. I taught myself to code, eventually became Head of Product at a startup, and shipped software across the stack.
Along the way I used every AI coding tool I could find. They all made me faster. None of them made me smarter. I could ship features in hours instead of days, but when something broke I still didn't understand why. I was assembling code, not engineering it.
That's the gap pear fills. The thesis is simple: AI makes shipping faster, but it doesn't make engineers better. Speed without understanding is technical debt you carry in your head. Pear is a learning engine that remembers what you know, detects what you don't, and teaches you at the moment of execution.
It doesn't write code for you. It watches what you build, tracks your learning state, and adapts its teaching to your level. Think of it as the senior engineer sitting next to you who remembers every conversation you've ever had, knows exactly where your gaps are, and asks the right questions at the right time.