How Engineering Discipline Can Help AI Generate Production-Quality Code

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A software consultant and AI advisor describes a methodology for producing production-ready code using AI without directly writing or reviewing the code during development. The approach stems from a personal experiment he began roughly two years ago, driven by concerns that rapid AI advancement would erode his technical expertise. He argues that while the method consumes more tokens upfront, it reduces rework and lowers the total cost of ownership over time. The technique is rooted in engineering discipline, requiring attention to correctness, security, performance, and observability rather than relying on 'vibe-coding.' He has published a free tutorial and an open-source skills framework on GitHub to help others adopt the approach.

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