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A user suggests that AI code assistants should be able to clearly explain the code they generate and the reasoning behind it. This would allow developers to understand and verify the AI's output, preventing blind acceptance and improving learning.
Your AI code assistant just wrote something you don't entirely understand. Do you: A) Ship it anyway because "it works" B) Actually read it and learn something Here's what I'm seeing: Copilot, Claude, ChatGPT have made developers *faster* at writing code. But faster at *what*? If you're using AI to avoid thinking about the problem, you're not leveling up. You're outsourcing your skill. And just like any other muscle, the more you do it, the weaker it gets. The developers who are winning aren't the ones who blindly accept every suggestion. They're the ones who treat AI as a collaboration tool, not a solution dispenser. Use it to accelerate your workflow, not to skip the hard thinking. Because the hard thinking is where the growth actually happens.