Smarter AI models actually produce more bloated and messier code than dumber ones even when they get the answer right.

This Volume-Quality Inverse Law suggests that AI progress is moving in the wrong direction for software engineering. As models get better at solving immediate coding puzzles, they get worse at writing clean, maintainable systems. They tend to produce code smells like redundant logic and architectural decay that make future updates difficult. This means that simply using a better LLM could actually hurt the long-term health of a software project. Practitioners need to be more careful than ever about reviewing AI-written code for architectural integrity.