Software engineering fundamentals remain crucial when integrating AI into development workflows, as LLMs function best within specific constraints. Effective AI-assisted coding requires maintaining a "smart zone" by keeping tasks small and avoiding context overload, similar to the memory limitations of the character from *Memento*. Developers should prioritize a "shared design concept" through iterative questioning—a "grill me" skill—before generating product requirements documents. By breaking projects into vertical slices rather than horizontal layers, teams can achieve near-instant feedback and maintain observability. Integrating test-driven development and automated feedback loops ensures code quality, while manual QA remains essential to preserve human taste and prevent the production of low-quality output. Ultimately, developers must retain control over their stack, using AI as a collaborator rather than a black-box generator to ensure architectural integrity and maintainable code bases.
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