Rohit Singh

I've noticed a shift in how I work over the past year, and I'm not 100% sure it's a good one.

A year ago, I'd use AI to speed up execution like writing boilerplate code, drafting an email or summarizing a doc. The thinking was still mine. Now, more and more often, I catch myself asking AI to decide things too: which architecture to pick, how to frame a pricing page, even how to respond to a tricky customer email. The line between "helping me think" and "thinking for me" has gotten blurry.

Here's what worries me a bit: the moments where I learn the most are usually the moments where I struggle first. If AI removes the struggle, does it also remove the learning? Or is that just an old-fashioned way of looking at it - the same way people worried calculators would ruin math skills, and mostly they didn't?

Do you think AI has made you better at thinking, or just faster at producing? And any moment where relying on AI backfired because you skipped the "struggle" step?

Hello community, what is your preferred AI platform for learnings based on your exact situation/background. We are working on a platform (CapxuleHub) on similar concept and would love to gather your feedback and suggestions. Thank you!

We ve been building CapxuleHub around a question I keep coming back to:

I've noticed my workflow has completely inverted over the past year. I used to sit at my Mac typing code; now Claude Code or Cursor does the long stretches, and my job is the interruptions: it stops, asks "should I refactor this or keep the interface stable?", and waits until I answer.

Which means I'm chained to my desk not by the work, but by the questions. Walking back from the kitchen to type "yes, option 2" feels absurd.

Curious how everyone else handles this: