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How can senior ICs and managers strategically guide junior engineers to develop critical engineering skills amid the rise of AI coding assistants?
In a landscape where generative AI and coding assistants are increasingly prevalent, how do we ensure that junior engineers develop the critical thinking and problem-solving skills necessary to progress to senior roles?
This talk explores how senior ICs can foster a learning environment that leverages AI tools without allowing them to become crutches. We will discuss frameworks for evaluating when AI can accelerate learning versus when it might obscure skill gaps, and share case studies on effective mentorship strategies in this new paradigm.
Attendees will leave with actionable insights on balancing AI-assisted workflows with traditional engineering skill development, ensuring that emerging engineers are prepared to thrive as senior ICs in the future.
Key takeaways
Develop actionable plans to assess junior engineers’ readiness for senior roles amid AI-driven workflows.
Identify key skill areas that AI tools may obscure and strategies for reinforcing them.
Implement mentorship frameworks that balance AI use with traditional problem-solving techniques.
