Most AI-built apps look finished.
They quietly break.
The fix is boring. And it works.
I was building a tool for a close client recently.
If I had said yes to every request and let the agent sprint,
I would have shipped something that looked finished —
but was secretly held together with tape.
The non-technical workflow that actually ships:
1. Agent prepares the specs
2. Agent reviews them
3. You (non-developer) read them and ask questions
4. Agent writes an implementation plan
5. Plan gets reviewed — by the agent, then by you
6. Only then does it write a single line of code
Speed without review is not speed.
It is debt with a beautiful UI.
Claude Code is not a magician.
It is a genius entry-level engineer.
A statistical machine predicting the next token very fast.
Still needs a clear spec, a human reviewer, and proper harnesses.
Without spec + review + harnesses, you ship a beautiful UI
on top of broken plumbing.
The non-technical person who asks the most questions wins.
How is your current AI project set up for quality control?
@devengoratela
#AIWorkflow #ClaudeCode #AIDevelopment #VibeCoding #ProductQuality #ShipReliableCode #NonTechnical #AICoding #EngineeringExcellence #QualityControl
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