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GitHub Copilot Custom Agent

GitHub Copilot Custom Agent

Automate your development workflows with specialized agent definitions.

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Overview

GitHub Copilot Custom Agent provides runtime insights from Dynatrace directly in your Git repository, helping you bridge the gap between code and cloud. With Custom Agent, you no longer need to leave the familiar GitHub environment to access critical observability and security data. Whether it’s triaging production errors, validating deployments, or responding to security vulnerabilities.

By combining the powerful capabilities of Dynatrace with GitHub Copilot and the dynamic AI-driven nature of custom agents, you can seamlessly search, query, and connect insights across a vast network of agents and platforms. This flexibility empowers you to create tailored agent scenarios that perfectly align with your unique needs.

Use cases

  • Incident Response and Root Cause Analysis: Investigate and resolve production failures directly within GitHub with higher precision, less time, and without requiring changes to workflows at other locations.
  • Deployment impact analysis: Compare pre- and post-deployment metrics to validate deployments, detect anomalies, and provide data-driven health assessments to ensure smooth rollouts.
  • Production error triage: Prioritize remediation efforts, reduce error backlogs, and improve application reliability directly in GitHub Copilot.
  • Performance regression detection: Ensure any degradation in latency, throughput, or error rates is flagged before it impacts your end-users or breaches SLO.
  • Release validation and health checks: Acting as an automated quality gate, the agent can validate releases, monitor post-deployment stabilization, and ensure compliance with SLOs.
  • Security vulnerability response and compliance monitoring: Proactively identify vulnerabilities, map them to compliance frameworks, and provide prioritized remediation recommendations.

Get started

We recommend using your local MCP server for prototyping and testing things out:

  • First, follow these instructions to create a platform token with the necessary scopes.
  • Once this is done, install the MCP server in your GitHub repository: you’ll find the configuration in Settings > CoPilot > Coding Agent (an example can be found in the repository linked above).
  • Finally, you need to set up the custom agent in your repository under .github/agents/Dynatrace.md.. For your convenience, we’ve provided an example file that you can simply drag and drop. Update your MCP server’s credentials, and you’re all set.
  • Before promotion to production, we recommend switching from your local MCP Server to our remote MCP Server.
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Found in 'Application Security'

GitHub Copilot Coding Agent logo

GitHub Copilot Coding Agent

Automate vulnerability remediation and boost developer productivity.

Technology
  • agentic-coding
  • a2a
  • agentic-ecosystem
  • agentic-security
  • AI
  • mcp
  • Model Context Protocol
GitHub Copilot Custom Agent logo

GitHub Copilot Custom Agent

Automate your development workflows with specialized agent definitions.

Technology
  • agentic-coding
  • a2a
  • agentic-ecosystem
  • agentic-security
  • ai
  • mcp
  • Model Context Protocol