Anastasiya Kauzovich

I can't tell if it's just me.

AI writes most of the code now. But I still open the ticket by hand, read it, hop on a call to clarify requirements, update the status by hand, ping the reviewer and QA myself, sit through a daily to say what I did and what's next, then tell the team it's done.

None of that got any faster. Is everyone else's day still built exactly like this, or has someone actually cut this down?

Genuinely curious where this community lands on this.

We keep hearing two completely opposite takes from teams: "just give the agent access and let it work - that's the whole point," vs "the second it changes something without me seeing it first, I stop trusting it."

We're building in this space right now, and it's the single hardest product decision we keep coming back to - how much should an agent just do, versus stop and ask.

So, poll for founders/eng leads here: if an AI agent could handle your team's routine backlog grooming (triage, assignment, labeling) but paused before anything risky, would you actually turn it loose on the boring 80%? Or is it a little scary that it might drift and break something, or wipe data you actually needed?

At Product Hunt, we re on a mission to help builders find users and help users find the best new products.

We ve been at it for over a decade, and we ve accumulated a ton of data, but we ve rarely shared it with the outside world. Until now.