Speaker
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.
Sponsored session
Session Sponsored By
Hud detects errors and performance degradations in production with the deep forensic context needed to fix them with AI
QCon London 2026 is a three day conference for senior software engineers, architects and team leads. An international program committee of working engineers selects every session. Patterns and practices, not products and pitches.
Part of the track
Sponsored Solution Track IFrom the same track
Monday 16 March
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