Browse All GitHub Copilot Content (425)

Patty Chow explains what it takes to move an AI agent beyond a demo, focusing on “memory” as an architecture decision that affects cost, recall quality, and user experience, and demonstrating an MCP server running inside GitHub Copilot backed by Azure Cosmos DB.

Allison announces a technical preview of the GitHub Copilot app, a GitHub-native desktop experience for running focused, isolated agentic coding sessions from issues and pull requests, then validating changes and landing them through normal PR review and checks.

Ayan Gupta shows how to take GitHub Copilot’s Java modernization workflow out of the IDE and run it at scale from the terminal, producing assessment reports, upgrade plans, diffs, and pull requests across many repositories, and wiring the process into repeatable CI/CD and scheduled jobs.

Jim Harrer announces the VSLive! Microsoft AI Hackathon 2026 at Microsoft HQ in Redmond, a hands-on evening build event designed to help teams ship real prototypes using Azure OpenAI, Azure AI Foundry, GitHub Copilot, and agent-based patterns, with judging criteria that emphasize architecture, security, and practical value.

Allison announces that GitHub Copilot’s cloud agent now supports Auto model selection, letting Copilot pick the best available model based on system health and performance, with a discounted model multiplier and no weekly rate-limit impact.

GitHub hosts a “Rubber Duck Thursdays” chat session covering open source topics, GitHub Copilot discussion, and general developer coworking and news.

Allison announces updates to GitHub Copilot for JetBrains IDEs, including a public preview of the Copilot CLI agent inside the IDE, a unified sessions view for tracking agent runs, and new agent-mode capabilities like an Ask question tool and global custom agent configuration.

Rob Bos introduces the GitHub Copilot App technical preview and shares a practical first look at using it for repository maintenance, including parallel agent sessions, session modes (Interactive/Plan/Autopilot), and the Agent Merge workflow for handling CI failures, merge conflicts, and security-related alerts.

Rob gives a first look at the new GitHub Copilot desktop app, showing how it shifts Copilot work into a project-based, chat-first workflow. He demonstrates starting sessions from issues and PRs, running multiple concurrent worktrees, and letting Copilot plan, implement, and open pull requests with checks and merge handling.

Allison announces a public preview REST API that lets Copilot Business and Copilot Enterprise customers start and track Copilot cloud agent tasks programmatically, enabling custom automations that fan out work across repos and open pull requests with validated changes.

Simona Liao introduces Agent Skills in Visual Studio, a way to package reusable, task-specific instructions so Copilot agents can follow your team’s workflows and standards. The post shows how to create and manage skills in the IDE or from your repo, and when to use skills versus custom instructions.

Ayan Gupta demonstrates how the GitHub Copilot app modernization extension containerizes a Java 21 application with Docker, validates it locally, and then provisions Azure infrastructure and deploys to Azure Container Apps using built-in tasks and an agent-driven workflow.

John Edward explains how GitHub Copilot changes team workflows around pull requests, code review expectations, and knowledge sharing. The article focuses on the trade-offs of faster AI-assisted coding, why review discipline matters more, and how teams can add guardrails like testing and security scanning without losing collaboration.

Leon Welicki explains how Power Platform is positioning existing Power Apps (canvas, model-driven, and code apps) for “agentic” workflows, including how agents integrate into apps, how Microsoft 365 Copilot can surface app fragments via MCP, and how developer tools like GitHub Copilot plug into the same managed platform.

Allison announces improvements to GitHub Copilot code review comments in pull requests, aimed at making feedback easier to scan and act on with severity labels and grouped suggestions to reduce repetitive noise.

Allison announces that April usage reports are now available so GitHub Copilot admins and individual users can estimate how activity maps to AI credits ahead of the June 1 move to usage-based billing, including known gaps and data-quality issues in the report.

Natalie Guevara announces updates to GitHub Copilot’s individual plans ahead of the June 1, 2026 move to usage-based billing, including new “flex allotments” for Pro and Pro+ and a new Max plan for higher-volume usage.

Sandra Ahlgrimm explains how to customize GitHub Copilot’s modernization task lists so teams can modernize legacy Java apps safely: set constraints, split risky upgrades into smaller reviewable steps, validate the current state first, and ensure Copilot surfaces CVEs without making silent changes.

Lee Reilly explains how he used GitHub Copilot CLI—especially /delegate—to build “GitHub Dungeons”, a GitHub CLI extension that turns any repository into a terminal roguelike. The post covers the core idea (seeded by commit SHA), how Copilot’s agent workflow fit into iteration, and the BSP approach used for dungeon generation.

kinfey explains why AI agents running model-generated code need stronger isolation than standard containers, then walks through deploying a GitHub Copilot SDK agent on AKS using Kata Containers (kata-vm-isolation) plus layered hardening like seccomp, NetworkPolicy egress allowlists, and deny-by-default tool permissions.

osmancokakoglu announces the winners of the AI Dev Days Hackathon and summarizes the projects and the Microsoft stack they used, including Azure AI Foundry, Azure OpenAI models, and the Microsoft Agent Framework, plus common Azure services and DevOps practices used to ship production-grade agentic apps.

Sandra Ahlgrimm demonstrates an end-to-end database migration for a Java application, moving from Oracle DB to PostgreSQL using the GitHub Copilot app modernization extension in IntelliJ, including dependency and configuration updates, bug fixes during setup, and manual verification before and after the migration.

Kedasha Kerr explains what open source is and walks beginners through finding beginner-friendly repositories on GitHub, evaluating whether a project is well maintained, and making a first contribution using a fork-and-pull-request workflow (with an example prompt for GitHub Copilot Chat).

Jesse Houwing breaks down why GitHub Copilot is moving from Premium Request Units to token-based, usage-based billing, and what that means for model selection, cost predictability, and newer features like Agent Mode, Cloud Coding Agent, and Copilot Code Review—especially for organizations managing budgets and policies.

This roundup tracks a clear shift from agent capability to agent governance: more context, more observability, and more policy controls across Copilot, VS Code, and the CLI. On the platform side, Microsoft tightened the path from prototype to production with .NET agent building blocks, Azure AI Foundry deployment patterns, and data governance improvements that make RAG and operations easier to standardize. We also cover the less flashy work that keeps systems dependable at scale, including Fabric and Databricks operational updates, GitHub migration and ruleset changes, and security research that keeps token theft, privilege escalation, and supply chain risk in focus.

SagarPatra explains how enterprise QA teams can use GitHub Copilot to reduce the mechanical overhead of writing and maintaining automated tests, while keeping trust through human review, governance, and intentional test design that supports reliable regression cycles.

Allison announces that Grok Code Fast 1 will be deprecated across GitHub Copilot experiences on May 15, 2026, and outlines what Copilot Enterprise admins need to do to ensure alternative models are available for users.

Allison announces an update to the GitHub Copilot usage metrics API that adds a breakdown of Copilot code review suggestions by comment type, helping enterprises and organizations understand what kinds of review feedback Copilot generates and how often developers apply it.

shwetayadav explains how index-based Terraform for_each keys can trigger destructive disk churn on Azure, and shows a safer migration approach using stable keys plus terraform state mv, with a reusable GitHub Copilot skill to generate deterministic state-move commands.

Yoshio Terada shares a real-world Java modernization story: migrating a Java 5 / Struts 1.3 monolith to Java 21 and Spring Boot in about two days using GitHub Copilot’s app modernization tooling, with a strong focus on planning, custom instructions, and verification to keep AI-driven changes reliable.

mscagliola shows how to use GitHub Copilot skills for spec-driven development, turning a Medallion Architecture blog post into a repeatable repo that generates Terraform for Azure platform setup and Databricks bundle files for workloads, while enforcing strict placeholder/TODO rules to avoid invented environment values.

Marco Olivo, Francesco Lana, and Andrea Griffiths share practical GitHub Copilot best practices for the usage-based billing era, focusing on getting more useful, code-first answers while keeping costs under control by scoping context and choosing the right interaction mode.

GitHub shares how Michael Babcock at the American Council of the Blind used GitHub Copilot alongside the JAWS screen reader to build an accessible desktop app that automates weekly administrative work and helps manage a large volume of community events.

Allison announces new “Agents” secrets and variables for Copilot cloud agent, enabling org-level configuration and finer repository access control so teams can roll out shared settings (like registry tokens or MCP server config) across many repos without duplicating Actions environment setup.

SagarPatra explains how their QA team used GitHub Copilot as a practical assistant for test design, automation scaffolding, and maintenance work, while keeping human review and responsible AI practices non-negotiable.

Allison announces that GPT-4.1 will be deprecated across GitHub Copilot experiences on 2026-06-01, and points teams to GPT-5.5 as the suggested replacement. The post highlights where admins may need to adjust Copilot Enterprise model policies so the alternative model is available in Copilot Chat.

Rob Bos shares a real-world GitHub Copilot CLI mishap where an unintended Copilot CLI extension caused repeated prompts to close GitHub deployment-status notifications, and explains how he tracked down the source and removed it.

Landon Cox explains how GitHub instrumented GitHub Agentic Workflows to track LLM token usage in CI, then used automated “auditor” and “optimizer” workflows to reduce costs. The post covers token-usage logging, MCP tool pruning, replacing MCP calls with GitHub CLI steps, and an “Effective Tokens” metric to compare savings across models.

Allison announces that Claude Sonnet 4 was deprecated across GitHub Copilot on May 6, 2026, and points teams to Claude Sonnet 4.6 as the replacement, with notes for Copilot Enterprise admins on enabling alternative models via model policies.

Fokko at Work demos selected new features in Visual Studio Code 1.119 with a focus on GitHub Copilot, including sharing browser tabs with agents and OpenTelemetry tracing for agent sessions, plus a quick look at other updates and rollout constraints like enterprise policies and plan differences.