Learn through practical examples how to develop customized AI agents for your business requirements using the Copilot Agent SDK. From code review to documentation to DevOps – the possibilities are diverse.
The Copilot Agent SDK
The Copilot Agent SDK is a framework for developing specialized AI agents that operate within the GitHub ecosystem. Agents can access workspace files, call external APIs, and interact with users through natural language. The SDK provides a clear structure with agent classes, tool definitions, and context objects.
Agent Examples
Code Review Assistant
A code review agent automatically checks files against company standards: maximum file length, function complexity, prohibited patterns, and required error handling patterns. The agent formats its findings as a structured review report that developers can read directly in the chat. For Swiss financial companies, the agent can be extended with compliance-specific rules.
Documentation Generator
The Docs agent analyzes TypeScript files, extracts function signatures, parameters, and return types, and generates structured Markdown documentation from them. By combining several tools – code parsing and Markdown generation – up-to-date API documentation is automatically created with each commit.
DevOps Helper
A DevOps agent provides tools for querying deployment status, scaling services, and retrieving logs. Developers can ask in natural language: "What is the status of service X?" or "Scale service Y to 5 replicas." The agent interprets the request and performs the corresponding action.
Security Scanner
The security agent scans code for known vulnerability patterns: eval() calls, innerHTML usage, hardcoded passwords, and insecure dependencies. The findings are categorized by severity and accompanied by concrete remediation suggestions. For regulated industries, this agent is a valuable tool for continuous security monitoring.
Multi-Agent Orchestration
Individual agents can be combined through an orchestrator agent. This agent runs multiple specialized agents in parallel – for example, code review, security scan, and documentation simultaneously – and consolidates the results. Using Promise.all, the agents are efficiently parallelized, significantly reducing the overall runtime.
Enterprise Integration
We develop custom agents for industry-specific requirements: compliance checks for Swiss financial regulators, integration with legacy systems via REST and SOAP APIs, and automated audit reports. Authentication is done via OAuth 2.0 and Microsoft Entra ID, and deployment can occur on-premises or in the cloud.
Conclusion
Custom agents make Copilot your specialized assistant. The combination of the SDK framework, tool definitions, and multi-agent orchestration opens up unlimited possibilities for automating development processes.