I'm seeing more and more discussions about using AI-based code assistants in backend development. On one hand, they can automate repetitive tasks, detect error patterns faster, and onboard new developers quicker. On the other hand, there's a risk of relying too much on generated suggestions, which could lead to hidden bugs or architectural design flaws. How do you all assess the balance between productivity and control? What strategies do you use to validate AI suggestions, and where do you draw the line between helpful support and over-reliance? I'm curious to hear about your experiences.
AI-powered code assistants in the backend environment: Curse or blessing?
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I'm curious, what specific methods do you use to ensure that the generated code doesn't violate the current project architecture? For example, do you rely on a suite of unit tests, automated checks in CI, or mandatory code reviews before merging?