praneetbrar
praneetbrar on Hacker News
So, what's the issue in that?
It seems ok enough to me
Posted by
praneetbrar on Monday May 25, 2026 @03:21PM
from the ask-hn dept.
I’m curious which small engineering habits people found disproportionately valuable over long periods of time.Not major methodologies or frameworks, but smaller recurring practices that quietly improve effectiveness over years.
Are you building something?
If yes, you need to check this out. I just shipped 100 top platforms and directories to get your startup listed to.
Any feedback will be appreciated, and if I missed any important one, do let me know
Posted by
praneetbrar on Wednesday May 20, 2026 @08:06AM
from the indiehunt.io dept.
Hi,
I just shipped Ask AI functionality on all the Aura++ project's pages. Now, you can get info about any project directly from LLMs improving the project's understanding and engagement on the site overall.
Any feedback, will be appreciated.
Posted by
praneetbrar on Wednesday May 20, 2026 @07:52AM
from the auraplusplus.com dept.
One thing I’m curious about is where the real bottleneck ended up: generating optimization candidates or validating that they were actually improvements.
Posted by
praneetbrar on Monday May 18, 2026 @01:16AM
from the ask-hn dept.
There’s a lot of discussion around AI-assisted development, but I’m curious which workflows have actually remained useful beyond the initial novelty phase.
Yeah, that's ok.
But if I am completely unaware about the code, I don't know what to search in cscope, or anything about the flow of the code. How do we manage in that situation?
If the underlying workflow is noisy, ambiguous, or overloaded with coordination overhead, faster generation just produces more low-context output to review and reconcile.
Posted by
praneetbrar on Sunday May 17, 2026 @08:38AM
from the ask-hn dept.
When you need to contribute to a large unfamiliar codebase, what’s your process for building understanding quickly?I’m interested in practical workflows that experienced engineers use.
It’s interesting how AI monetization often favors firms with existing workflow embedding rather than pure model innovation. Distribution and operational integration seem to matter more than raw model capability.
This feels even more relevant with AI-assisted coding. Generating code is getting cheaper; the bottleneck is increasingly understanding and validating what already exists.
One thing that often gets overlooked is how much failure and constraint shape better leadership. It seems like the NeXT years gave Jobs the space to rethink product focus in a way that likely wouldn’t have happened if Apple had kept succeeding uninterrupted.