Everyone posts about building entire apps in a day with AI but I rarely see anyone talk about what it actually looks like when you have paying customers, medium complexity infra, and expectations around quality.
So here's my breakdown:
~1h - Standup and feature discussion
~2h - Creating an implementation plan (back and forth with Claude Code on architecture, what scales, what we can reuse, infra changes)
13 min - Claude's actual implementation
~1h - Updating infra: secrets, new queue, permissions etc.
~1h - Fighting with Claude to follow our Figma design
~30 min - Adding missing functionality
~2h - Testing edge cases and fixing as I go
~1h - Testing on staging with the team and deploying live
Given that this same feature would've taken an engineer about a week before AI, it's a huge improvement. But I'm still spending around 5 hours on infra, testing, and QA and I feel like that can be improved even further.
Curious what others are doing to speed this up?