The Agentic Paradox | Why AI Makes Coding Faster — And Codebases Worse
Send us Fan Mail
AI coding tools promise unprecedented speed and productivity, yet enterprise data tells a startling story of surging production incidents, bloated pull requests, and degraded software stability. At the same time, solo engineers using advanced reasoning models are solving deep, previously intractable domain bottlenecks in hours.
In this episode of Mindcast, host Will explores The Agentic Paradox—the counterintuitive reality of modern AI software development. Drawing from research and real-world case studies, we break down why standard AI usage leads to the "Dynamo Trap,"…
The skinny
The skinny isn't ready yet — notes appear once the transcript is processed.