Arsalan Amin

We launched PromptQL on X/Twitter 2 weeks back and went viral as the first AI version of slack; and we just went live on Product Hunt! Yesterday Jack Dorsey announced his version, Buzz. And as someone following the space - I see a lot of people having strong opinions about this.
So what's yours? Is slack working for you as you do more and more of your work with AI? Where does it break? Do we even need a new era of collaboration tools?

It doesn't even have to be a big dramatic failures, more the small moments where something clicked and you went from trusting the output by default to double checking everything. For me it was watching an agent confidently rename a function across twelve files, then leave the original function untouched in a thirteenth file it apparently didn't search, with zero indication anything had been missed. It wasn't even a hard case, the file just wasn't in the directory it happened to grep first.
What was your moment? And did it actually change your workflow afterward, or did the trust creep back in after a week like it always seems to for me?

For me, I feel like the hardest part isn't choosing between tools like React, Firebase, Railway, etc, it's really deciding which parts of the stack I should commit most of my time and tokens early and which ones may become painful to replace later.

Do you stick with a familiar stack and avoid overthinking it, design around expected scale from day one, let your coding agent influence the architecture, or start with the cheapest setup and migrate later? Also, curious which early technical choice has saved you the most time, and which one you wish you probably shouldn't have overthinked on.