I'm curious about what software engineers should focus on to stay competitive in the AI-driven future.
What skills, tools, or areas of knowledge should we prioritize to ensure we remain valuable in the evolving tech landscape? Should we be doubling down on core software engineering principles, diving deeper into AI and machine learning, or focusing on something else entirely?
I'd love to hear thoughts and advice from others navigating this shifting landscape, especially those who have been through similar transitions in the past.
