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Rethinking software structure to enable LLM coding

Thomas Dohmke is right that low-level coding skills will matter less and that “the future belongs to developers who can model systems, anticipate edge cases, and translate ambiguity into structure—skills that AI can’t automate.” What they may not have recognized is how, paradoxically, LLMs will force us to re-adopt classic software engineering principles that we’ve only paid lip service to in recent years. LLMs quickly hit a complexity barrier when asked to build a full application, and when they operate as programming partners in a real codebase they tend to fumble around making changes in arbitrary places, breaking existing functionality, introducing security vulnerabilities and corroding the quality of the code—making coding take more time, not less.

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