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A manager and engineer at a security firm discuss how AI tools have stripped away the satisfaction of deep technical work—replacing problem-solving with prompt management and eroding the sense of ownership over code. They explore whether the tradeoff of faster output for lost engagement is worth it, and what might make the role meaningful again.
- Engineers report losing satisfaction because AI handles complexity they once owned, shifting their role from critical thinking toward management-style coordination rather than hands-on technical work.
- The manager acknowledges the real cost: after 15 years mastering a skill, watching AI surpass you at it is demoralizing, but the solution isn't rejecting AI—it's using it to tackle harder problems instead of just faster ones.
- Post-holiday malaise and team disorganization compound the issue, but the underlying problem is that engineers feel disconnected from their own work and the codebase direction when development moves too fast.