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Developer shares principle-based method to keep AI-generated code architecturally sound

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A software developer has outlined a workflow for preventing architectural drift when using AI coding agents across multiple pull requests. The approach combines explicit high-level documentation of code structure with normative, principle-based guidelines that all current and future code must satisfy. Rather than relying solely on specs or test coverage, the developer argues that spelling out design principles at each architectural layer ensures individual PRs align with the broader system intent. Enforcing modularity programmatically makes it easier to isolate bugs and delegate fixes to coding agents. The author notes that while this kind of principle-driven review was impractical before large language models, it can now be a routine step in the planning and review stage of every PR.

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Developer shares principle-based method to keep AI-generated code architecturally sound · ShortSingh