Executive Guide to Evaluating AI Platforms for Software Development

This guide provides a framework for evaluating AI platforms specifically designed for software development. It addresses the challenges enterprises face in selecting appropriate AI tools amidst a crowded market. The document outlines the distinction between developer-focused platforms and context-aware platforms, emphasizing the importance of long-term modernization over short-term productivity gains. It discusses common pitfalls in AI adoption, such as the confusion caused by varying platform capabilities and the risks associated with relying solely on coding acceleration. The guide highlights the need for platforms that support the entire software development lifecycle, maintain persistent enterprise context, and integrate governance and compliance into workflows. It also presents criteria for evaluating AI solutions, including end-to-end lifecycle ownership and the ability to work with legacy systems. By following this framework, executives can make informed decisions that align with their enterprise's strategic goals and enhance software delivery processes.