Abstract
Agentic engineering thrives in controlled environments but often falters in dynamic production systems. To reason effectively, agents need more than static code analysis; they require runtime intelligence—precise, function-level data that explains how code actually behaves under real-world conditions.
Teams at companies like monday.com, Cyera, and Drata are bridging this gap. By feeding agents end-to-end production telemetry, they enable AI to identify root causes and navigate complex dependencies with precision.
This session explores why runtime intelligence is a foundational requirement, not just an observability add-on. Learn how to provide coding agents with the "ground truth" needed to resolve errors and performance spikes safely in unpredictable environments.
Speaker
May Walter
Co-Founder and CTO @Hud
May Walter is Co-Founder and CTO of Hud, focused on bridging the gap between complex production environments and AI code generation.
May is a software engineer, researcher, and serial CTO with deep roots in operating system internals and cloud runtime optimization. Prior to Hud, she built and led engineering organizations as CTO at Santa and Bond (acquired by REEF Technology). Earlier in her career, May spent eight years working as a vulnerability researcher, cybersecurity engineer, and engineering leader in a highly demanding intelligence technology environment.
Across these roles, May led hundreds of engineers and security researchers and has become an expert in both runtime internals and scaling engineering organizations.
May has a BSc in Computer Science and an MBA. She is a frequent speaker on the topics of low-level internals engineering, leadership, and engineering culture.
Session Sponsored By
Hud detects errors and performance degradations in production with the deep forensic context needed to fix them with AI
Date
Monday Mar 16 / 03:55PM GMT ( 50 minutes )
Location
Westminster (4th Fl.)
Video
Video is not available
