I'm a business analyst, not a coder. Is it worth learning to build AI features myself?
I have years of business planning and analysis experience but I've never really shipped code. Everyone says "just use AI to code now." Is that realistic for someone like me, or am I kidding myself?
It's realistic, and your background is actually the advantage, not the gap. I came into this from a decade of business planning and data analysis, not from a CS degree. The thing nobody says clearly: the hard part of building a useful feature was never the syntax. It's knowing what's worth building, what data matters, and what a good answer looks like. That's the analyst skillset. AI coding tools collapse the syntax barrier, but they don't decide your schema, your priorities, or whether a feature actually serves anyone. So my honest advice: don't try to become a software engineer. Stay an analyst who can now ship. Build one small real thing end to end — a single feature on real data — and you'll learn more than from any course. The trap is endless tutorials. Pick a concrete problem you actually have and build that.