Frequently asked questions for using GitHub Copilot in Visual Studio Code.

Learn how to discover, install, and manage agent plugins in VS Code to extend GitHub Copilot with pre-packaged commands, skills, agents, hooks, and MCP servers.

Best practices for getting the most out of GitHub Copilot in VS Code, from writing prompts to configuring your project for AI.

Learn about different types of AI agents in VS Code, including local agents, Copilot CLI for running in the background, and cloud agents.

*azure* enables serving zone data from Microsoft Azure DNS service.

*grpc_server* configures DNS-over-gRPC server options.

Learn how to use context-isolated subagents in VS Code to delegate complex tasks to autonomous agents within your chat session.

Apache Beam is an open source, unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns (EIPs) and Domain Specific Languages (DSLs). Dataflow pipelines simplify the mechanics of large-scale batch and streaming data processing and can run on a number of runtimes like Apache Flink, Apache Spark, and Google Cloud Dataflow (a cloud service). Beam also brings DSL in different languages, allowing users to easily implement their data integration processes.

Apache Beam is an open source, unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns (EIPs) and Domain Specific Languages (DSLs). Dataflow pipelines simplify the mechanics of large-scale batch and streaming data processing and can run on a number of runtimes like Apache Flink, Apache Spark, and Google Cloud Dataflow (a cloud service). Beam also brings DSL in different languages, allowing users to easily implement their data integration processes.

Get started with different types of agents in VS Code to run tasks locally, in the background, or in the cloud. Hand off work across agents to use what works best for your workflow.