I keep noticing this pattern in engineering teams.
A developer hits a bug.
Opens ChatGPT or Copilot.
Pastes the error.
Copies the fix.
Moves on.
No understanding. No curiosity. Just the green checkmark so the ticket can close.
But then there are the engineers I genuinely admire.
They pause.
They read the stack trace.
They ask why this broke in the first place.
They dig into the source code instead of just the symptoms.
They learn something about the system they'll carry forever.
They fix the bug and three other things they noticed along the way.
That's the difference between using AI as a crutch and using it as a catalyst.
The crutch engineer becomes dependent.
Copies without questioning.
Ships code they can't explain.
Debugs by trial and error, pasting until something works.
Their skills plateau because the struggle is where growth lives — and they skipped it.
The catalyst engineer uses AI differently.
They ask it to explain, not just fix.
They verify the suggestion against docs.
They treat it as a second opinion, not the answer.
They stay in the driver's seat.
I've seen junior devs outgrow seniors because they kept their curiosity sharp.
And I've seen talented people stagnate because they outsourced their thinking.
AI is the most powerful learning tool we've ever had.
But only if you engage with it.
Only if you ask "why does this work" after it works.
Only if you treat every fix as a chance to understand, not just ship.
Because at the end of the day, code that you don't understand is debt you'll pay later.
And a developer who stops asking why has already stopped growing.
@TakTahuAku2@bellasksksks @risolmayomentai Yes benar berlebihan tidak baik, tapi kita belum tau apakah tolak angin tiap hari diminum satu sachet saja berlebihan atau tidak karena tweet awal tidak dijelaskan tidak baiknya kalau minum berapa sachet per hari 🙏🏻
It’s been 13 years since “The Midsummer Station” was released. I’m grateful for your continued support of these songs all these years later.
What is your favorite track on TMS?