#221 [Radar Recap] The Future of Programming: Accelerating Coding Workflows with LLMs - podcast episode cover

#221 [Radar Recap] The Future of Programming: Accelerating Coding Workflows with LLMs

Jul 02, 202445 min
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Episode description

From data science to software engineering, Large Language Models (LLMs) have emerged as pivotal tools in shaping the future of programming. In this session, Michele Catasta, VP of AI at Replit, Jordan Tigani, CEO at Motherduck, and Ryan J. Salva, VP of Product at GitHub, will explore practical applications of LLMs in coding workflows, how to best approach integrating AI into the workflows of data teams, what the future holds for AI-assisted coding, and a lot more.

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#221 [Radar Recap] The Future of Programming: Accelerating Coding Workflows with LLMs | DataFramed podcast - Listen or read transcript on Metacast