Why fixing infrastructure at scale is still a human bottleneck

Modern platform teams manage complex infrastructure across cloud services, infrastructure as code, shared modules, CI pipelines, and policy frameworks. Issues are not hard to find. Compliance gaps, misconfigurations, drift, and scanner findings surface constantly.

The hard part is fixing them.

Every remediation requires context. Engineers must understand architecture, dependencies, ownership boundaries, policy intent, and delivery constraints. They move between code, scanners, documentation, and pipelines to produce one safe and reviewable fix.

Generative AI promises faster remediation, but without a deep understanding of the environment, it often produces incomplete or risky changes. Infrastructure is not just syntax. It is an interconnected system.

This talk explores why infrastructure remediation must be deterministic, contextual, and workflow native. Not more alerts. Not better prompts. Systems that deliver fixes engineers can trust, review, and merge as part of normal development workflows.