Learning in Public: Embracing Growth and AI

This chapter explores the concept of learning in public, discussing its challenges and benefits in professional development, especially in AI. The speaker emphasizes maintaining open-source projects, documenting learning journeys, and fostering a growth mindset while transitioning from fear to embracing vulnerability. Additionally, the chapter discusses the practical use of large language models as coding assistants, highlighting their evolving capabilities and the significance of integrating automated testing.