Skepticism kept me from AI coding tools far longer than I'd like to admit. My setup was solid. The shortcuts felt like muscle memory, and the last thing needed was something second-guessing every decision.
A deadline with zero slack changed that. Two weeks with GitHub Copilot on an actual project, well, sort of forced on me by a client push. Not a tutorial. Not a sandbox. What followed was nothing like I expected.
It wasn't the code suggestions that won me over. It was the cognitive load that quietly vanished. Boilerplate functions, repetitive API handlers, unit tests for obvious cases, these tasks aren't hard. They're just draining. Clearing them freed mental space for the architecture calls that actually matter.
But here's the thing: blind trust will wreck you. Suggestions can be confidently wrong, especially around security logic and edge cases. Every single line still needs fresh eyes on it. Treat it like a fast junior dev whose output you review before it ships, at least in most cases.
Documentation was the part nobody warned me about. Paste a function, ask for a plain-English breakdown, clean it up. Pull requests became cleaner, and code reviews moved faster because teammates actually understood what changed.
Stop expecting AI coding tools to think for you. And honestly, that one reframe changes everything. They cut friction between your ideas and your keyboard, nothing more. Give it a genuine two-week run on real work, not a toy project. You'll feel it fast.
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