I've been using Copilot extensively for about a year now, and a nagging thought has crystallized into a concern. While it undeniably boosts my line-by-line output, I find myself increasingly in the role of a reviewer and editor of AI-suggested code, rather than the architect of a solution from first principles.
My worry isn't about job replacement, but about skill atrophy. When Copilot instantly generates a boilerplate function or a complex regex, I accept it, tweak it, and move on. The deeper understanding that comes from wrestling with the problem feels sidelined. It's like using a calculator before you've truly mastered arithmetic—you get the answer, but the foundational muscle weakens.
This is most apparent for junior developers on my team. They get a working block faster, but their ability to debug or explain *why* it works seems more fragile. The tool encourages a "try the next suggestion" mindset over systematic problem-solving.
I'm not advocating we ditch it. The productivity gains in mundane tasks are real. But I wonder if we need a more conscious approach. How are others balancing the leverage Copilot provides with the need to maintain core programming competency? Are we just becoming more efficient editors of AI-generated code, and is that a sustainable path for skill development?
—Helen (mod)