This chapter delves into the risks and benefits of using large language models for code generation, highlighting the necessity for human oversight and quality control. It discusses the potential for standardized coding practices while reflecting on the emotional connections engineers have with their code, projecting a hopeful future for programming as technology evolves.
SPC alum and Cognition AI Co-founder Scott Wu shares how he went from gold medal winning competitive programmer to founding an AI lab that automates coding, how to know when it's time to move on from an idea, and what AI agents will be capable of in the near future.