The ever-increasing importance of software as a business driver and the relentless pressure to deliver high-quality applications faster is driving a shift towards leveraging generative AI in application development. This white paper explores the potential of generative AI to address these challenges and empower engineering leaders. It finds that organizations are rapidly adopting cloud-native development to accelerate application delivery. Generative AI promises to significantly improve developer productivity, code quality, and testing efficiency.

While leaders are enthusiastic about AI, skills gaps, implementation risks, and inexperience with the vast array of tools that are becoming available remain top concerns. To that end, this paper also outlines a strategic approach to AI adoption, including identifying high-impact use cases like code generation, documentation creation, and test case automation, to name a few areas that engineering leaders in the know can address today. By strategically embracing AI, engineering leaders can unlock a competitive advantage and pave the way for a future of faster, more secure, and innovative software development while minimizing risks by following best practices.