Building Agentic Engineering Resilience: Using VS Code Copilot Automations + Datadog MCP for Recurrent Error Detection and Fixing

Remo Jansen explores how to leverage agentic engineering to improve system resilience by automating error detection and remediation. The approach combines VS Code’s new Copilot Automations—which allow for scheduled, recurring agent tasks—with the Datadog Model Context Protocol (MCP) server to provide agents with direct access to observability data. By configuring an agent to periodically query Datadog for high-frequency 4xx/5xx errors, perform root-cause analysis, and generate TDD-style fixes, developers can create a continuous verification loop. The article emphasizes that while these agents do not replace human oversight, they serve as a powerful layer of automation that compounds over time. Key advice includes managing the 128-tool limit by filtering Datadog toolsets and starting with manual runs to ensure safety before enabling fully autonomous, scheduled workflows. This practice shifts the engineering focus from manual debugging to verifying automated, high-quality starting points for system stability.