What this case covers
Xiaochu organized development experience from internal enterprise tools and quotation mini programs into a dual-brain collaboration process, using a planning model together with programming tools such as Codex. The article covers requirement breakdown, project constraints, debugging, and delivery acceptance, with a focus on how to control the scope of AI execution.
Questions it answers
- Why should planning and coding be separated?
- How should requirements be broken down into executable small tasks?
- How can AI be prevented from refactoring code without authorization?
- How can context costs be controlled during debugging?
- After the first version runs, what acceptance steps are still needed?
Our observations
- Business experience determines how tasks are broken down; tools cannot define acceptance for people.
- A quotation range does not equal actual income, and the delivery cycle also depends on project scope.
From the author
So the key is always 'how you harness the tool,' not the tool itself.