Over the past year, AI has become part of many developers' daily workflow. It can generate code, explain unfamiliar frameworks, review pull requests, and even suggest architectural patterns.
But I've noticed that the biggest impact isn't on writing code faster. It's on how we think about software architecture.
With AI handling repetitive implementation tasks, it feels like architects and senior engineers are spending more time on system design, scalability, security, integrations, and long-term maintainability rather than syntax and boilerplate.
At the same time, AI-generated code isn't always production-ready. It still requires strong engineering judgment, careful reviews, and a solid understanding of the underlying architecture.
I'm curious how other developers are experiencing this shift.
