Leading your engineers towards an AI-assisted future

A comprehensive strategy for engineering leaders to guide their teams through AI adoption in software development. The approach centers on three phases: experimentation, adoption, and impact measurement, using aligned autonomy principles. Key elements include establishing clear metrics for tracking progress, providing organizational support through training and communities of practice, and addressing engineer concerns about AI's impact on their roles. The strategy emphasizes finding a middle path between AI enthusiasm and skepticism, ensuring teams understand both capabilities and limitations of AI coding tools.