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Accelerating software development with generative AI

Builders and developers are spending a significant portion of their time manually developing code that is straightforward but time consuming. They also invest a lot of time to explore, learn, and keep up with ever-changing tools and technologies. This session outlines the pragmatic approaches, tips, and tricks on how to enable builders to develop ML skillset starting with the use of machine learning as a code assistant. We demonstrate how to use Amazon CodeWhisperer, an AI coding companion to improve productivity by generating code recommendations based on comments in natural language and code in the integrated development environment (IDE). Learn how other tools such as Amazon CodeGuru, which provides intelligent recommendations for improving code quality, and Amazon DevOps Guru to improve application availability with ML-powered cloud operations, can help. We showcase how you can now shift from reactive to proactive management incident resolution to boost application availability, and spend more time instead on creating new, differentiated business critical capabilities. Download slides », Download demo »

Speaker: Matt Coles, Principal Engineer, AWS