What my dad taught me about AI coding in the 90s

The article argues that AI-assisted coding will reward IT teams that maintain strong mental models, disciplined review, and clear architectural thinking rather than simply delegating work to the model. For CIOs and technology leaders, the strategic implication is that productivity gains from LLMs will depend less on raw coding speed and more on governance, code quality, and the ability of experienced engineers to stay in control of interfaces, dependencies, and intent. Organizations that treat AI as a force multiplier for skilled developers—not a replacement for engineering rigor—will be better positioned to move faster without creating fragile, hard-to-maintain systems.