Running GitHub Copilot CLI Commands in a Safe Local Environment
Learn how to enable and configure local sandboxing in GitHub Copilot CLI, including filesystem, network, credential, and command-execution permissions.
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Tutorials, how-tos and deep dives on AI, .NET, C#, cloud and developer tools, written by the community.
Learn how to enable and configure local sandboxing in GitHub Copilot CLI, including filesystem, network, credential, and command-execution permissions.

Learn how to limit GitHub Copilot agent access to repositories, secrets, MCP tools, internet connections, and development environments.

Learn how GitHub Copilot Computer Use lets agents interact with desktop applications, including availability, setup in Copilot CLI and VS Code, permissions, and safe usage practices.

Learn how to enable GitHub Copilot CLI local sandboxing, configure filesystem and network permissions, verify policies, and safely run agent-driven development commands.

Introduction Much of Excel work is repetitive: writing formulas, cleaning inconsistent entries, building pivot tables, and preparing the same report every month. Copilot in Excel lets you do these tasks by describing what you want in plain English. This article walks through 10 practical use cases.

Learn how GitHub Replica and GitHub Copilot can create interactive UI prototypes using an existing design system, documented components, and natural-language instructions.

Explains GitHub Copilot’s automatic and manual AI model selection, how routing affects coding tasks, and why developers must validate generated code.

Compare Microsoft 365 Copilot and Copilot Studio, including user licensing, maker access, tenant capacity, AI agents, and Copilot Credits.

Evaluates GitHub Copilot GPT-6.1 Terra for C# coding and agentic terminal tasks, with practical guidance on validating generated code and tests.

Learn how to connect a C# console application to a custom model endpoint using the GitHub Copilot SDK, including provider configuration, authentication, sessions, and security.

Learn how to select and use Gemini 4 Argon in GitHub Copilot, including supported environments, eligible plans, practical coding tasks, and governance considerations.

Learn how to retrieve and process GitHub Copilot usage metrics for adoption reporting without storing developer prompts, responses, or conversations.

Learn how to measure GitHub Copilot adoption with usage reports and APIs while aggregating metrics without storing developer prompts or generated responses.


GitHub Copilot for JetBrains no longer supports IDE version 2025.1. Learn how to check plugin compatibility, assess upgrade constraints, and plan an IDE update.

Learn how GitHub Copilot Code Review organization-level billing controls help administrators manage access, usage, rollout policies, and AI review spending.

Learn about GitHub Copilot updates for JetBrains IDEs, including managed default models, MCP server controls, diagnostics, chat navigation, and agent reliability.

Learn why GitHub Copilot agent activity was missing or misattributed in usage metrics, which IDE versions are affected, and how updated telemetry restores accurate reporting.

Learn how Claude Haiku 5.5 expands GitHub Copilot model choices and how to select models for coding, debugging, refactoring, and agentic workflows.

Learn how GitHub Copilot CLI can discover local AI models and what local inference means for coding-agent privacy, hardware, latency, capability, and operational control.

Learn how GitHub Copilot local sandboxing restricts AI coding agent commands to help protect developer machines, repositories, credentials, and other host resources.

Learn why GitHub Copilot agent activity may be undercounted or attributed to Copilot CLI, and why updating supported IDEs is necessary for accurate usage metrics.

Learn how GitHub Copilot model retirements affect developers and organizations, and how to review model selections, policies, integrations, and replacement-model behavior.

Explains how GitHub Copilot dynamic workflows adapt planning, repository exploration, code changes, and testing to complete multi-step development tasks.

Artificial Intelligence is transforming the way we work, collaborate, and build software. Microsoft offers multiple Copilot experiences, each designed for a specific audience and purpose. While they share the Copilot brand, Microsoft 365 Copilot Chat, Microsoft 365 Copilot Cowork, and GitHub Copilot

Understand the licensing differences between Microsoft 365 Copilot and Copilot Studio, including user licenses, tenant capacity, Copilot Credits, trials, and production agent usage.

Learn how to integrate the GitHub Copilot Code Review API into internal tools, CI/CD workflows, and developer portals while handling authentication, permissions, and human review.

Learn how GitHub Copilot Computer Use lets AI agents interact with desktop apps, including GUI workflows, limitations, use cases, and how it compares with APIs and traditional automation.

AI coding assistants have moved well beyond autocomplete. Modern coding agents can inspect a repository, understand related files, modify code, run tests, investigate errors, and continue working across multiple steps. That changes how developers should evaluate an AI model inside an IDE. A simple q

Learn what happens to unconfigured GitHub Copilot features after October 22, including default policies, explicit settings, organization controls, and admin actions.
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