Real-world lessons from enterprise teams (TELUS, Lockheed Martin, Autodesk, Macquarie Group, United Wholesale Mortgage) on integrating AI agents into developer and operations workflows. Key patterns include: giving agents real-time telemetry access via MCP, embedding AI into existing developer tools like VS Code and Slack, standardizing observability with OpenTelemetry and enriching it with domain context, treating the AI stack itself as a production system requiring governance and monitoring, and closing the loop from insight to automated action. Companies that contextualized their MCP configurations saw success rates jump from 60% to 95%.
Table of contents
1. Give agents real-time access to telemetry data2. Meet developers where they are3. Standardize telemetry and enrich it with domain context4. Observe and govern the AI stack itself5. Close the loop from insight to actionWhat’s next?Sort: