Bennett Ryan

Scaffolding frontend layouts, Tailwind components, and basic CRUD forms through natural language prompting is remarkably smooth now.

However, once an app requires dynamic, competitive state like handling real-time bids, managing race conditions when two events trigger simultaneously, or verifying payment webhook signatures pure conversational generation starts hitting walls.

I run multi-client creative work (video, ad scripts, photography) and feedback always ends up scattered across WhatsApp, email, and Figma comments. Half the time nobody's sure which version actually got approved.
Curious how others handle this, especially freelancers and small agencies juggling several clients at once.
Is your bottleneck getting clear feedback, keeping versions straight, or something else entirely?

I asked an AI assistant to review a repo before shipping it.

It came back with a clean report, a confident tone, and a long list of passes. Then I checked one of the lines it cited.

The line said something else. The mistake itself didn't bother me that much. What bothered me was that there was no shape in the output for "I don't know."

Everything was either a problem or a pass. And the passes were doing a lot of unearned work.