In my experience, the biggest shift is not just code generation but how these tools help with exploration and refactoring. They are great for speeding up routine work, but you still need judgment around architecture and edge cases. Treating them as assistants, not replacements, sets the right expectations.

Honestly, the biggest challenge with AI tools isn't just picking one, it's explaining to management that they don't replace the need for deep architectural knowledge. Most managers think Copilot means 2x speed, but they forget about the "review debt" it creates. I’ve found that focusing on the ecosystem rather than just the syntax is the only way to stay ahead. I actually wrote a breakdown on why the Python ecosystem remains the backbone of this shift, which might be exactly what your manager needs to see to understand the bigger picture: https://codebit-daily.hashnode.dev/why-python-is-still-the-k...