May Walter

May Walter is a software engineer, researcher, and entrepreneur with a proven track record leading technology innovation as CTO across multiple startups. An authority in operating system optimization and cloud runtime internals, now co-founder and CTO of Hud, where she is pioneering a Runtime Code Sensor – a new foundation for AI coding agents to operate with real production context.

On his blog, John dives deep into topics such as runtime forensics, dynamic instrumentation, mitigating production blind spots, AI-assisted root-cause analysis, and the evolution of observability beyond traditional logs, metrics, and traces. His writing is known for its clarity and practical insights, often breaking down emerging engineering patterns and showcasing how modern tools—like hud.io—bridge the gap between detection and resolution. Readers appreciate his hands-on approach and his ability to ground complex systems in real-world scenarios.

Outside of his work at hud.io, John is passionate about helping technologists stay ahead of the curve. He mentors up-and-coming technical marketers, participates in open-source communities, and continues to explore new ways AI can enhance software development workflows. Whether he’s refining a product story or dissecting the latest trends in production debugging, John brings curiosity, technical rigor, and a commitment to elevating the craft of software reliability.

Beyond day-to-day product marketing, John also collaborates with hud.io’s research and engineering groups to develop technical guides, whitepapers, and proof-of-concept content. He frequently contributes to conference talks, webinars, and community discussions around software reliability, production monitoring, and leveraging AI in incident response. His cross-functional role allows him to remain deeply connected to the engineering challenges customers face.