You are a human, you know how this world behaves, how your team and colleagues behave, and what your users expect. You have experienced the world, and you want to work together with a system that has no experience in this world you live in. Every decision in your project that you don’t take and document will be taken for you by the AI.
Your responsibility of delivering quality code cannot be met if not even you know where long-lasting and difficult-to-change decisions are taken.
You must know what parts of your code need to be thought through and what must be vigorously tested.
Think about and discuss the architecture, interfaces, data structures, and algorithms you want to use. Think about how to test and validate your code to these specifications.
You need to communicate to the AI in detail what you want to achieve, otherwise it will result in code that is unusable for your purpose.
Other developers also need to communicate this information to the AI. That makes it efficient to write as much documentation as practical in a standardized format and into the code repository itself.
Document the requirements, specifications, constraints, and architecture of your project in detail.
Document your coding standards, best practices, and design patterns.
Use flowcharts, UML diagrams, and other visual aids to communicate complex structures and workflows.
Write pseudocode for complex algorithms and logic to guide the AI in understanding your intentions.
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