Browse All Artificial Intelligence Content (1140)

GitHub highlights a major update to the GitHub Copilot desktop app announced at Microsoft Build, focusing on new preview features aimed at safer, more agent-native local development workflows.

Kyle Daigle highlights what developers can do with the GitHub Copilot app and notes that anyone on a paid Copilot plan can access it now.

Dylan Birtolo explains a Copilot CLI rollout that makes subagent delegation more selective, reducing unnecessary handoffs and improving reliability and wait times. The post breaks down the delegation failure modes they observed, the orchestration policy changes they shipped, and how they validated the impact with offline tests and production A/B experiments.

Allison announces new controls for GitHub Copilot code review, including organization-level runner configuration (GitHub-hosted, self-hosted, or large runners), support for Copilot content exclusions at repo/org/enterprise scope, and removal of the 4,000-character limit for repository custom instruction files.

Microsoft Developer highlights a common pitfall in cost-efficient AI app development: focusing too much on prompt tweaks and model swapping instead of improving the system around the model with better data, context, and pipelines.

Microsoft Developer explains a common pitfall when trying to build cost-efficient AI applications: focusing too much on prompt tweaks and model swapping instead of designing a system that reliably provides the model with the right data and context.

Christina Warren recaps developer news from Microsoft Build and GitHub, including updates to the GitHub Copilot desktop app (cloud and local sandboxes) and the general availability of Anthropic’s Claude Fable 5 model for Copilot, plus a quick look at GitHub Universe and an open source project spotlight.

John Savill rounds up a week of Azure platform changes and retirements, spanning compute/storage updates, database and identity improvements, monitoring changes, and several developer-facing AI items including GitHub Copilot Agent Mode in SSMS and Azure AI Foundry agent licensing and model availability.

Visual Studio Code shares a quick walkthrough of three MCP servers they use daily in VS Code—GitHub, Playwright, and Microsoft Learn—to extend GitHub Copilot Agent mode for PR review, real-browser testing, and pulling up-to-date documentation as context.

RohitMadhavKrishnan introduces ArchAngel, an educational AI coding assistant designed to bring a team’s engineering standards directly into the IDE, so junior developers get constructive feedback while they write code. The post outlines the core idea, a reference architecture, and the Microsoft-centric stack used to ground guidance in “golden repos.”

BhaktiRath95 walks through common failure modes when running AI/ML inference workloads on Azure Container Apps, including slow model startup, probe timeouts, OOM kills, and GPU initialization problems. The post provides concrete probe settings, Python/FastAPI patterns, and Log Analytics queries to diagnose and fix issues methodically.

Bruno Capuano and Tommaso Stocchi walk through building distributed multi-agent applications using .NET Aspire and Microsoft Agent Framework (MAF), focusing on how multiple agents coordinate across services and exchange context. The session connects these patterns to Foundry-oriented scenarios and demonstrates them with a ski resort example.

John Savill gives a fast-paced rundown of key announcements from Microsoft Build 2026, highlighting notable platform updates across Azure, AI, and identity/security topics such as Entra and passkeys.

Natalie Guevara summarizes GitHub’s May 2026 availability incidents and the reliability work underway, including moving parts of the monolith to Azure, isolating database domains, and hardening GitHub Actions and Copilot services against cascading failures.

Visual Studio Code highlights new Integrated Browser improvements in VS Code, including saving browser favorites, taking full-page or region screenshots, and using browser content as context for GitHub Copilot and agent workflows.

MichalBar introduces a preview redesign of Microsoft Fabric Real-Time Dashboards tile editing, adding Copilot-assisted visual authoring alongside a more code-friendly KQL workflow. The post walks through creating a visual from a prompt or query, iterating with history, and testing parameterized queries directly in the editor.

Allison explains an update to GitHub AI usage reports so GitHub AI Credits usage is reflected in the standard report fields, including what to use going forward and what changed for data since June 1.

Waldek Mastykarz explains how AI coding agents can silently scaffold outdated Node.js projects when they run npx without pinning versions, due to npm’s engine-aware manifest selection. The post breaks down why this happens and gives practical steps to make agent-driven scaffolding more predictable.

Laurent Bugnion explains why Microsoft Build 2026 labs are a popular way for developers to learn through hands-on sessions, including tracks that cover AI, Copilot, and Microsoft Fabric. He also shares where to find the on-demand “Digital lab” sessions and how long they remain available after the event.

Allison announces a new /settings command in GitHub Copilot CLI that centralizes configuration into a schema-driven interface, supporting an interactive full-screen dialog, inline one-liners, and reset-to-default workflows with tab-completed keys and validation.

Laurent Bugnion explains why the hands-on labs at Microsoft Build 2026 are popular, highlighting practical sessions across AI, Copilot, Microsoft Fabric, and other developer topics, plus how to find and access the digital labs on demand after the event.

Allison announces the public preview of GitHub Agentic Workflows, a GitHub Actions capability that lets teams define reasoning-based automations in natural-language Markdown and compile them into standard Actions YAML, with built-in controls aimed at keeping agent-driven changes safe to apply.

Dan Wahlin demonstrates an “agentic journey” workflow that takes an app idea through planning, coding, infrastructure creation, and deployment to Azure, using GitHub Copilot CLI and Azure skills to handle tasks like Bicep templates, health probes, and database wiring for an app backed by Azure SQL and Microsoft Foundry.

Natalie Guevara explains how GitHub improved secret scanning alert quality by adding LLM-based contextual verification, reducing false positives while keeping detection coverage. The post breaks down where verification fits in the pipeline, what “better context” means in practice, and the measured impact on customer-confirmed false positive alerts.

Allison announces that GitHub Agentic Workflows can now authenticate using GitHub Actions’ built-in GITHUB_TOKEN instead of a personal access token, reducing the risk of long-lived credentials and enabling organization-level billing for Copilot CLI usage in agentic workflows.

Laura Jiang announces Copilot Autofix in limited private preview for GitHub Advanced Security for Azure DevOps, which generates suggested fixes for supported CodeQL alerts and turns them into pull requests. The post explains what’s covered in preview, how the workflow fits into existing review gates, and how usage is billed via Azure.

Leah Tran introduces Visual Studio 18.7’s pull request review experience, which lets developers open PRs, browse diffs, discuss comments, and approve or merge changes from inside the IDE for both GitHub and Azure DevOps repos.

Mario Toffia and Priyanka Sharma share a practical look at AI-assisted coding workflows, comparing Claude Code + Cursor with GitHub Copilot CLI and focusing on what works, what breaks down, and how teams can scale usage without losing control over sensitive infrastructure.

Authorised Territory demonstrates how to govern a .NET Model Context Protocol (MCP) server by writing a YAML policy that prevents a specific tool from being executed, using the Microsoft.AgentGovernance.Extensions.ModelContextProtocol NuGet package.

Fokko at Work demos what’s new for GitHub Copilot in Visual Studio Code 1.124, focusing on Agents window usability improvements (including navigation shortcuts) and the “advanced autopilot” experience, with notes on how enterprise policies and pricing plans can affect feature availability.

Allison announces an update to GitHub Copilot Chat on the web that improves handoff to Copilot cloud agent sessions and adds ways to query previous sessions. The release surfaces in-progress agent status in chat, enables pulling agent logs into the conversation, and adds session search for summarizing past work.

j_folberth explains how to deploy Azure AI Foundry Hosted Agents directly from a source-code ZIP instead of a container image, including the deployment lifecycle, an azd-based workflow, and a reusable GitHub Action that posts to the Foundry data plane and polls until the new agent version becomes active.

Henk Boelman live-codes a real-time, voice-first multimodal agent in Azure AI Foundry using the Voice Live API, showing how to combine speech input, model reasoning, and speech output, then connect the agent to external tools via MCP so it can take real actions.

Waldek Mastykarz explains how to measure whether an AI coding agent extension actually improves generated code, using controlled comparisons, clear evaluation criteria, and repeatable scenario runs while tracking both quality and token cost.

Waldek Mastykarz explains why piling up dozens of agent “skills” can quietly burn your token budget and reduce response quality, and how to decide what should stay a skill versus what should become a manually-invoked prompt in tools like GitHub Copilot and VS Code.

Jeffrey Fritz announces the .NET Day on Agentic Modernization livestream (June 16, 2026), focused on practical ways to modernize existing .NET applications without a full rewrite. The agenda highlights GitHub Copilot-assisted modernization, Aspire-based approaches, migration of WinForms and line-of-business apps, and adding agentic/AI capabilities.

Apoorv Gupta explains Spec-Driven Development (SDD) as a spec-first workflow for AI-native engineering, where structured specs act as the shared source of truth across requirements, design, implementation, and validation. The post introduces GitHub Spec Kit and outlines a practical lifecycle teams can adopt to reduce ambiguity and rework.

Mehrnoosh Sameki, Sandeep Atluri, Minsoo Thigpen and Abby Palia introduce ASSERT, an open-source framework that turns natural-language behavior requirements into executable evaluation pipelines for AI models and agents, generating taxonomies, stratified test cases, traces, and scored results that teams can inspect and iterate on.

Natalie Guevara explains how to give GitHub Copilot CLI real code intelligence by installing and configuring language servers via the LSP Setup skill, replacing brittle grep/decompile workflows with semantic features like go-to-definition, find references, and type resolution in the terminal.

Heather Poulsen shares an optimization playbook for running agentic AI workloads in production on Azure, focusing on keeping multi-agent orchestration reliable while controlling token costs and latency. It highlights practical techniques like inference routing, prompt compression, RAG tuning, caching, and FinOps-style capacity planning.