Navigating Agentic and Generative AI in Software Development

This report provides an in-depth analysis of the integration of AI technologies within the software development lifecycle (SDLC). It outlines how organizations are increasingly adopting AI across various stages of development, with a notable 99% of surveyed organizations incorporating AI into their processes. The report highlights key motivations for AI operationalization, including enhanced developer productivity, improved software quality, and accelerated delivery timelines. It also addresses the challenges organizations face, such as managing the complexity of AI tools, a shortage of skilled talent, and governance issues. The findings reveal that a unified platform approach is essential for effective AI integration, reducing redundancy, and minimizing risks associated with tech sprawl. Furthermore, the report discusses the impact of generative AI and agentic automation on team structures and skill requirements, emphasizing the need for specialized roles in the evolving landscape of software development. Insights from technology leaders illustrate the transformative potential of AI in enhancing efficiency and delivering value.