AI is transforming software development, but not always for the better. The 2024 DORA report reveals that AI adoption resulted in a 7.2% regression of delivery stability for software, highlighting the industry's overemphasis on velocity. This session will explain how to flip the script on AI’s role in software development, and drive better development and delivery outcomes with new innovations from Google Cloud and beyond, freeing developers to focus on customer value.

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. Links Mentioned in the Show: Rewatch Session from RADAR: AI Edition New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

AI is transforming software development, but not always for the better. The 2024 DORA report reveals that AI adoption resulted in a 7.2% regression of delivery stability for software, highlighting the industry's overemphasis on velocity. This session will explain how to flip the script on AI’s role in software development, and drive better development and delivery outcomes with new innovations from Google Cloud and beyond, freeing developers to focus on customer value.