This workflow elegantly automates the TDD cycle, but it risks creating a self-validating loop where AI simply confirms its own logic. It effectively shifts the developer's role from coding to high-level orchestration.
Deep Dive
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Deep Dive
How AI Handles the Entire Implementation Loop #ai #codingAdded:
We are now on the implementation stage.
The implementation stage is an SI command or start coding command and it has five [music] steps. The first step is where we ask AI to get into the technical decomposition that we prepared and the technical decomposition >> [music] >> is detailed enough for AI to have all information it needs to start the implementation. And the next step is updating your project management tool.
We can skip it but I use it. And the main step is TDD loop. It's where we test, [music] implement and if it pass, we we go ahead. TDD works very very well when coding with AI because AI can check itself, [music] can double check itself writing tests and it's a great approach.
Our technical decomposition [music] is mainly about like writing tests around the functionality and then creating a [music] functionality or writing the functionality. And this is very important part. That's why all of these coding agents >> [music] >> work so well because if they they have this loop of checking themselves, self-check loops we can say.
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