In this interview during theCUBE's coverage of AWS re:Invent, Christine Yen, chief executive officer of Honeycomb.io, sits down with theCUBE’s Dave Vellante to discuss why observability is emerging as the critical "trust fabric" for AI-driven software development. Yen explains that as AI coding assistants accelerate development velocity and increase the volume of code in production, the potential for instability and "unknown unknowns" rises significantly. She argues that traditional monitoring, which often minimizes data collection to control costs, cannot keep up with the distributed dependencies responsible for nearly 70% of outages. Instead, high-fidelity telemetry is required to create the necessary feedback loops that allow engineering teams to validate agentic behavior and maintain system reliability. The conversation also highlights Honeycomb’s latest strategic announcements designed to meet these challenges, including the launch of Honeycomb Private Cloud for organizations with strict governance needs. Yen details the company’s full embrace of OpenTelemetry standards for metrics and the general availability of Honeycomb Canvas, a natural language interface that simplifies complex querying. Yen and Vellante further explore the misconception that AI will reduce the need for oversight, with Yen positioning observability as the "seatbelt" for AI – allowing teams to move fast while retaining the ability to detect and resolve issues in real time.