Developer and Operational Productivity in Google Cloud with Duet AI

In this session, we’ll demonstrate how Duet AI enhances developer and operational productivity. We’ll explore how Google’s state of the art AI is applied to address real- world development and operations challenges. Topics include context-aware code completion, licensing compliance assistance, code explanation, test generation, operational troubleshooting and more. We’ll share customer successes and insights from within Google that inform continuous improvement of AI productivity tools.

Ameer Abbas, Senior Product Manager at Google Cloud, provides a demonstration of Duet AI and its application in enhancing developer and operational productivity. He explains how Google’s state-of-the-art AI is applied to real-world development and operations challenges, emphasizing its role in assisting with context-aware code completion, licensing compliance, code explanation, test generation, operational troubleshooting, and more.

Ameer highlights the division of Google’s AI solutions for consumers and enterprises, mentioning products like Gemini (formerly Bard), Maker Suite, Palm API, Workspace, and Vertex AI. Vertex AI is a platform for expert practitioners to build, extend, tune, and serve their own machine learning models, while Duet AI offers ready-to-consume solutions built on top of foundational models.

He discusses the importance of modern applications that are dynamic, scalable, performant, and intelligent, and how they contribute to business outcomes. Ameer references the DevOps Research and Assessment (DORA) community and its focus on key metrics like lead time for changes, deployment frequency, failure rate, and recovery time for incidents.

The presentation includes a live demo where Ameer uses Duet AI within the Google Cloud Console and an Integrated Development Environment (IDE) to perform various tasks such as generating API specs, creating a Python Flask app, and troubleshooting errors. He demonstrates how Duet AI can understand and generate code based on prompts, interact with existing code files, and provide explanations and suggestions for code improvements. Ameer also shows how Duet AI can assist with generating unit tests, documentation, and fixing errors, and he touches on its capability to learn from user interactions for future improvements.

The demo showcases how Duet AI can be integrated into different stages of the software development lifecycle and how it can be a valuable tool for developers and operators in the cloud environment. Ameer concludes by mentioning future features like the ability to have Duet AI perform actions on the user’s behalf and the incorporation of agents for proactive assistance.