The promise of AI accelerating software development is potent, but it can lead to a personal disconnect with the codebase. Engineers can find themselves producing functionality rapidly, only to lose track of the underlying architecture and logic. This rapid evolution, driven by AI-generated code, can paradoxically make maintaining and understanding the system a significant challenge.
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AI developmentArtificial Intelligencecodebase managementdevelopment processdomain-driven designsoftware architecture
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