You've installed the hyped new AI coding assistant. The demo blew you away. Three weeks later, it's collecting dust – or worse, it's the most fragile part of your stack. What happened? It's not that the tool was bad. It's that the tool didn't fit. And in modern software development, AI developer tools workflow integration is the make-or-break factor that almost no one evaluates upfront. The Real Failure Mode of AI Developer Tools Most reviews of AI dev tools focus on the wrong things: Model capability Suggestion accuracy Latency Pricing These matter. But they're not why tools get abandoned. Tools get abandoned because of a slow, predictable death spiral: 1.You install the tool. It works in demos. 2.You hit friction. It assumes a stack, structure, or workflow you don't use. 3.You adapt. You write wrappers and shims. 4.The wrappers rot. Every tool update breaks something. 5.The tool becomes the bottleneck. The thing meant to accelerate you is now the slowest, most brittle part of your system.…