Browse GitHub Copilot Community (34)

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.

B_Manasa explains how GitHub Copilot (especially Copilot Chat in VS Code) can speed up relational data modeling by turning architecture intent into reviewable schema drafts faster, using a multi-tenant SaaS control-plane example and concrete prompt patterns for iterating on cardinality, history tables, and schema evolution.

GalimahB shares a Microsoft Build //local host kit overview, listing breakout sessions and hands-on labs you can run in your city—covering GitHub Copilot agentic workflows, Microsoft Foundry (agents, models, evals), and Azure topics like Container Apps, AKS, databases, and Cobalt VMs.

syedarshad walks through moving from brittle Playwright selector-based automation to agent-driven testing using GitHub Copilot (GHCP) agents and Model Context Protocol (MCP), including a practical setup flow in VS Code, confidence-scored element discovery, and fallback strategies for more resilient E2E tests.

In this community deep dive, junjieli walks through the GA release of Microsoft Foundry Toolkit for Visual Studio Code—covering model experimentation, agent development (no-code and code-first), evaluations, deployment to Microsoft Foundry Agent Service, and workflows for converting, profiling, and fine-tuning local models on Windows.

carlottacaste spotlights Athiq Ahmed’s winning Agents League Reasoning Agents project, CertPrep, detailing a Microsoft Foundry-based multi-agent pipeline that builds study plans, tracks readiness, generates assessments, and applies guardrails and human approval steps.

Sreekanth_Thirthala announces a public preview feature for Azure API Center: a plugin marketplace endpoint that lets developers discover and install AI plugins (including MCP servers and skills) from tools like Claude Code and GitHub Copilot CLI, while keeping enterprise governance and auth intact.

sachoudhury explains GitHub Copilot Custom Skills: repo- or user-scoped SKILL.md “runbooks” that Copilot can discover and execute in agent mode to automate multi-step developer workflows (commands, scripts, and report generation).

jordanselig walks through building an MCP App (a tool plus a UI resource) with ASP.NET Core, rendering an interactive weather widget inside chat clients like VS Code Copilot, and deploying the MCP server to Azure App Service using azd and Bicep.

ShivaniThadiyan outlines a shift-left approach to Azure infrastructure validation, using GitHub Copilot as an assistive layer to summarize Terraform plans, interpret drift signals, and help prioritize Azure Policy and Azure Resource Graph findings—without removing human approvals or governance.

SundarBalajiA explains how to embed GitHub Copilot custom agents in a repo (via `.github/agents/`) to run Terraform-based Azure infrastructure security checks inside VS Code, including recommended agent metadata, tool permissions, and a structured finding format mapped to CIS, Azure Security Benchmark, and NIST controls.

aycabas announces the Agents League category winners and highlights how each team built and shipped real AI-agent solutions—ranging from an MCP server inside GitHub Copilot to an enterprise multi-agent assistant deployed to Azure with Bicep and instrumented with OpenTelemetry.

Shikhaghildiyal walks through what VS Code extensions are and how to build one, then describes an enterprise use case: a custom extension that scaffolds Terraform from centrally managed module templates and uses GitHub Copilot to speed up authoring while keeping deterministic compliance guardrails in place.

siddhigupta explains how to add practical guardrails to AI-assisted development so teams can use GitHub Copilot and Azure AI services without creating security, compliance, or governance gaps—covering controls in the IDE, safety checks for prompts/outputs, and CI/CD enforcement.

fiveisprime introduces “Code Optimizations” in the Azure App Service VS Code extension, which uses Application Insights Profiler data to pinpoint slow .NET methods and then launches GitHub Copilot Chat with stack traces and source context to suggest targeted fixes.

simonjj walks through migrating a real Node.js + Redis Heroku app to Azure Container Apps in about 90 minutes, including service mapping, containerization, CLI-driven deployment, and common gotchas. The post also highlights how GitHub Copilot and Azure AI Foundry can support migration and future AI-native workloads.

OsvaldoDaibert explains a common IBM Power → Azure x86 migration failure mode in C++: silent integer corruption caused by Big-Endian vs Little-Endian byte order, and shows a practical refactoring workflow—accelerated with GitHub Copilot—to add portable byte-swapping, guard against struct padding, and deploy to Azure.

carlottacaste walks through an end-to-end workflow for taking an agent from prototype to production using the AI Toolkit in VS Code and Microsoft Foundry, covering model selection, agent setup, migration to hosted code, deployment, and ongoing evaluation/monitoring.

NagaSurendran details practical strategies for organizations migrating from Heroku, focusing on how Azure and its integrated tools—including GitHub Copilot and Microsoft Foundry—enable modern, secure, and intelligent cloud-native applications.

shashban presents an overview of the Azure Copilot Migration Agent, highlighting its integration with GitHub Copilot to simplify, accelerate, and govern large-scale Azure migrations for developers and IT teams.