Browse All GitHub Copilot Content (395)

sutandan explains spec-driven development as a more reliable alternative to the “prompt → retry → guess” loop when using AI coding tools, showing how a lightweight specification (inputs, outputs, constraints, edge cases) can make generated code more consistent for APIs and refactoring tasks.

Devi Priya explains how GitHub Copilot Workspace supports intent-driven, multi-file refactoring across a repository, including a practical walkthrough that modernizes an app’s authentication flow and highlights planning, review, and adoption best practices.

This week’s roundup is about turning agentic tooling into something teams can run, budget, and govern. GitHub Copilot’s shift to token-based billing and AI Credits makes cost a first-class part of rollout checklists, especially as agent-style IDE and PR workflows expand and code review begins consuming both AI Credits and GitHub Actions minutes. On the platform side, GPT-5.5 in Microsoft Foundry, Microsoft Agent Framework 1.0, and A2A/MCP interoperability point toward more standardized agent runtimes, while Azure and Fabric updates reinforce the same operational theme: tighter identity, clearer observability, and more precise controls in both connected and constrained environments.

Hidde de Smet shows how to combine five GitHub Copilot customization file types in a single .NET Aspire repo, so the right instructions, skills, prompts, and agent roles load at the right time without bloating every chat request.

Allison announces the June 1, 2026 deprecation of GPT-5.2 and GPT-5.2-Codex across GitHub Copilot experiences, and outlines the replacement models plus the admin steps needed to ensure the alternatives are available via Copilot model policies.

John Edward discusses how GitHub Copilot changes programming education, where it can speed up learning, and where it can undermine fundamentals if students rely on it too heavily. The post outlines practical habits for students and classroom approaches for educators to use Copilot without losing academic rigor.

HimanshuYadav explains how to modernize brownfield Terraform codebases by refactoring legacy modules to Azure Verified Modules (AVM) with AI assistance. The post focuses on using tools like GitHub Copilot to draft changes, then relying on disciplined Terraform plan review and policy gates to keep state changes safe.

Ravindra Kumar Vishwakarma explains how GitHub Copilot CLI can run as an Agent Client Protocol (ACP) server, enabling tools, IDEs, and CI/CD systems to connect to Copilot as a backend agent with streaming, sessions, and permissioned tool execution.

Rob Bos breaks down five GitHub Copilot and agent extensibility surfaces that create supply-chain and governance gaps in large enterprises, and explains what controls exist today (and where they don’t) across Copilot CLI plugins, APM, gh skill, MCP servers, and VS Code extension registries.

The Visual Studio Code Team summarizes what’s new in VS Code 1.119 (Insiders), including Markdown UX updates and several chat/agent features such as improved codebase context for virtual file systems, attaching browser tabs as context, and Copilot CLI plan mode support.

Kayla Cinnamon explains how GitHub Copilot CLI’s interactive and non-interactive modes differ, when to use each, and the exact commands to start a session, run one-off prompts, and resume prior sessions from the terminal.

GitHub demonstrates how hooks work in the GitHub Copilot CLI, explaining the agent lifecycle and when hook events fire (session start, prompt submitted, and pre/post tool use). The video shows how to use these events to influence tool calls and tailor Copilot CLI behavior to your workflow.

Allison summarizes the April 2026 update for GitHub Copilot in Visual Studio 2026, focusing on agentic workflows like launching cloud agent sessions from the IDE, user-level custom agents and skills discovery, a new debugger agent flow, plus chat history, shortcut customization, and new C++ tools.

Microsoft Fabric Blog explains how Fabric SQL developers can move from Azure Data Studio to VS Code, keeping SQL Database Projects and adopting a Git-based workflow with pull requests, schema compare, publish script previews, and optional GitHub Copilot assistance in the MSSQL extension.

GitHub explores context engineering in an agentic loop, testing context sharing in GitHub Copilot inside VS Code and then attempting to replicate the same approach using the Copilot SDK and LangChain.

GitHub shows how GitHub Copilot CLI can scan a repository and generate a pull request that follows contribution guidelines, issue templates, and team rules—reducing the manual work of formatting and filling out PR details.

Rob Bos covers GitHub Copilot’s token-based billing, focusing on what “tokens” mean in practice and how usage-based pricing can affect Copilot costs for teams and organizations.

Microsoft Developer hosts a Cosmos DB Conf 2026 session where Sergiy Smyrnov demonstrates migrating an AdventureWorks-based ASP.NET/EF Core app from a relational database to Azure Cosmos DB for NoSQL, using GitHub Copilot and Cosmos DB Agent Kit prompts to plan the move and rewrite the data layer.

Mark Downie covers the April Visual Studio 2026 update, focusing on GitHub Copilot’s new cloud agent workflow, user-level custom agents, and a Debugger Agent that validates fixes against real runtime behavior, plus improvements to C++ agent tools, IntelliSense vs Copilot completion priority, and configurable Copilot shortcuts.

JennyF explains how Microsoft’s 1ES team uses agentic AI (including GitHub Copilot CLI) plus “skills” and “agent signals” to speed up CVE remediation and compliance work across many repositories, while keeping humans in the loop for review, validation, and deployment.