The Irony of AI Development: How Context Engineering Is Taking Us Back to Waterfall And Why That's Not Necessarily a Bad Thing For three decades, the software industry has been on a journey away from waterfall development toward agile methodologies. Now, in an unexpected twist, the rise of AI-powered development tools and "context engineering" is quietly pushing us back toward sequential, specification-heavy workflows. But this time, we're walking into a trap we've seen before—the waterbed problem. You must tackle this strategically and head-on in order to recognize AI efficiencies—otherwise AI acceleration will create more chaos than efficiency. A Brief History: From Waterfall to Agile The Waterfall Era (1970s-1990s) Waterfall development emerged from manufacturing and engineering disciplines. The model was simple: define requirements completely, design the system, build it, test it, deploy it. Each phase flowed into the next like water over a cascade. The approach made sense for its time.…