AI, and particularly generative AI, dominates the current conversation about software development and testing. AI’s time has arrived, and contributors across the software development lifecycle (SDLC) have quickly begun experiencing tangible gains in terms of productivity, software quality, and career advancement.

This research explores how and where teams are most commonly using AI, ML and generative AI, and shares perspectives on how this game-changing technology will transform how we approach building, testing and delivering software. Our research finds both the productivity gains and ability to address challenges with AI-augmented technology remarkable, given the relative newness of generative AI.

To take advantage of AI’s potential, it will be critical to understand its most valuable use cases, the required skills, and the potential challenges teams will face as they incorporate these technologies into their workflows. This research aims to provide valuable insights to help you navigate the changes ahead. Download AI-Augmented DevOps: Trends Shaping The Future.

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