The Real Cost of Speed: Why AI-Generated Code Creates Hidden Maintenance Debt

AI coding tools provide genuine speed improvements, but companies are discovering these gains come with hidden costs—studies suggest roughly 44% of AI token spending goes to fixing bugs in AI-generated code. This isn't merely faster shipping; it's a trade-off that moves work from development to maintenance phases, creating long-term technical debt that many teams don't account for in their ROI calculations. Understanding this dynamic is critical for engineering leaders deciding where AI coding adds genuine value versus where it's simply accelerating work that will demand expensive rework later.