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Explore strategic approaches for developing junior engineers' critical thinking and problem-solving skills in an era dominated by AI coding assistants and generative AI tools. Learn how senior individual contributors and engineering managers can create effective mentorship frameworks that leverage AI capabilities without allowing them to become developmental crutches. Discover evaluation methods for determining when AI tools accelerate learning versus when they might mask important skill gaps, and examine real-world case studies demonstrating successful mentorship strategies adapted for the modern AI-enhanced development environment. Gain practical frameworks for assessing junior engineers' readiness for senior roles while balancing AI-assisted workflows with traditional engineering skill development, ensuring emerging talent develops the foundational competencies necessary to thrive as future senior contributors.
