Based on my recent experience trying to integrate AI into my team’s Development Life Cycle (DLC), I’ve hit some unexpected roadblocks. It wasn't just about technical hurdles; it was a mix of outdated processes, skeptical colleagues, and the pressure to meet customer expectations for security and quality. In searching for a "frictionless" way to introduce AI, I realized that the real hurdle isn't the tool or the output quality— it’s the human resistance to change. The Engineering Identity Shift This friction usually stems from a deep-seated identity crisis. As software engineers, we’ve spent decades tying our value to "the code." But whether we’re building a mobile app for an apartment complex, an HR system for payroll, or a new video game, our primary goal has always been to design systems that solve problems. Code has always been the tool, not the core. Great systems aren't built by typing; they are built through engineering knowledge, architectural foresight, and a deep understanding of the customer.…