Unpacking the data behind a high-performance platform | Charlotte Fleming

Platform engineering is undergoing a massive transformation, with the average number of platform features expanding from four to 23 in just 18 months. This rapid growth is driven by the need for automation, standardization, and the integration of AI, which requires robust guardrails and governance. High-performing teams increasingly utilize mandatory adoption strategies to enforce these standards, contradicting the traditional view that voluntary adoption is the primary hallmark of maturity. Furthermore, measuring developer satisfaction remains a critical differentiator for success, as platforms are now treated as products requiring active user feedback. While AI accelerates the demand for platform capabilities, the platform team’s role is becoming more central to organizational success by providing the necessary infrastructure for secure and scalable AI deployment.