AI in DevOps for Improving Engineering Team Productivity

AI and machine learning continue to be hot topics everywhere. The majority of discussions on AI/ML are focused on how generative AI and large language models (LLMs) will change the world. However, LLMs like ChatGPT, Bard, and Llama only represent one area of modern advances in the AI/ML space. Considering the bigger picture of new AI technologies, Chris Navrides has been investigating ways to enable entire new areas of opportunity within the DevOps lifecycle. By leveraging AI in DevOps, he believes teams can improve developer productivity through better code authoring, debugging, and pull request experiences. AI can help you to identify bottlenecks in the pipeline, including those that are due to technological concerns like flaky tests that may also impact inter-team collaboration. Join Chris as he shares his views on how to measure potential changes in productivity and ultimately be metrics-driven in demonstrating any improvements of applying AI in the DevOps lifecycle.