Five real-world lessons for building developer workflows in the agentic era

This article details five key lessons learned from companies successfully integrating AI agents into developer workflows. These include providing agents with real-time access to telemetry data, meeting developers in their existing tools (like IDEs), and standardizing telemetry with enriched domain context. Crucially, organizations must also observe and govern the AI stack itself, and establish fast feedback loops to refine agent behavior and prevent issues like overly broad data requests – ultimately turning AI insights into actionable improvements.