Browse All Posts (129)
Manasa Ramalinga lays out a practical reference map for governing enterprise AI and autonomous agents, focusing on how to turn responsible AI policy into enforceable controls, runtime visibility, and audit-ready proof using Microsoft’s governance, security, and observability services.
Polly Davidson lays out a beginner-friendly roadmap for learning GitHub, from core Git concepts and essential commands to day-to-day collaboration with pull requests, issues, and projects. It also introduces GitHub Actions for CI/CD, GitHub Pages for publishing, and practical security basics like 2FA, secret scanning, Dependabot, and CodeQL.
jordanselig shares a reference implementation for giving an AI agent both short-term conversation history and durable, user-scoped memory on Azure App Service, using Redis for bounded session history and Cosmos DB vector search for recall, with keyless auth via managed identity and a one-command azd + Bicep deployment.
Giles Odigwe announces the production release of Agent Skills for Python in Microsoft Agent Framework, explaining how to package reusable domain expertise (instructions, resources, and scripts) that agents can load on demand, with governance features like approvals, filtering, caching, and controlled script execution.
conxu-ms summarizes new Microsoft Fabric Data Factory updates focused on making pipeline orchestration easier, improving monitoring and troubleshooting, and adding AI-assisted operational capabilities for managing data workflows at scale.
Davide Mauri shares a practical first tip for developers who are new to Microsoft Azure and want to start building a full-stack AI application while keeping costs under control, pointing viewers toward Azure’s Budget Bytes guidance and related Azure services.
Aarti Borkar announces Microsoft Defender Experts Threat Intelligence and expanded Microsoft Defender Experts MDR coverage, focused on closing the “intelligence-to-action” gap for security teams. The post explains how curated, expert-led intelligence and managed response workflows are being brought directly into the Defender portal and powered by Microsoft Sentinel.
Visual Studio Code shares quick tips for using the integrated terminal inside VS Code to speed up common command-line tasks without leaving the editor.
John Edward explains why AI agents that look great in demos often break down in production, and what teams need to engineer around the model to make agents reliable at scale.
GitHub compiles its GitHub for Beginners Season 3 into a single crash course covering core GitHub workflows: planning work with Issues and Projects, automating CI/CD with GitHub Actions, using built-in security features, publishing with GitHub Pages, writing Markdown, and making first open source contributions.
alyssaschimm announces a public preview in Azure Monitor that adds advanced platform metrics for Azure Storage, giving container-level visibility into blob capacity and blob count so teams can investigate growth drivers, set better alerts, and improve cost and capacity planning without building custom reporting pipelines.
Rachel Kang explains new Visual Studio features for working with GitHub Copilot models: pinning favorites in the model picker, comparing model capabilities (like context window size and vision support), and tracking context window and plan usage so long-running chats don’t catch you off guard.
Waldek Mastykarz explains how to design evaluation (eval) suites for AI coding agents that produce real signal instead of misleading scores, focusing on representative prompts, unambiguous criteria, multiple runs, and environment control. The article also covers how to write and calibrate LLM-judge rubrics using pass/fail/skip checklists.
Krishna Roy shows how to load test Copilot Studio agents by simulating real multi-turn conversations over Direct Line (HTTP + WebSockets) with Locust, then running the same workload in Azure Load Testing. The post covers measuring TTFB vs full turn completion, handling turn.complete, file uploads, and secret handling with Key Vault.
Pamela Fox shows how to build an MCP server that returns more than plain text: image thumbnails as binary tool results and an interactive MCP app (a carousel) rendered inside VS Code, so GitHub Copilot can search, inspect, and present curated image results.
Thomas Maurer explains what AKS on bare metal is and where it fits for on-premises, edge, and sovereign deployments, focusing on how it keeps the AKS experience while running directly on physical hardware. He also outlines a deployment path using Azure Local SFF with Arc-based management.
Allison summarizes the June 2026 GitHub Copilot update for Visual Studio 2026, focusing on new usage tracking and alerts, a trust validation layer for MCP servers, and Copilot features that tie into pull request workflows and C++ modernization.
Allison announces updates to GitHub Copilot for JetBrains, including BYOK custom endpoint support, expanded plugin-based customizations, Claude provider support for custom agents, and local sandboxing in public preview, plus UX and reliability improvements across chat, model selection, and CLI sessions.
hetvip explains how to use Apache Airflow as an orchestrator for Azure Container Apps (ACA) Jobs, enabling dependency ordering, parallel fan-out, and per-task retries. The post introduces two open-source templates and a shared Airflow operator that triggers ACA Job executions via the ACA Jobs API.
goupadhy announces a preview of autoscaling for Microsoft Fabric Virtual Network (VNet) Data Gateway, explaining how gateway node counts scale in and out based on workload signals to balance performance, reliability, and cost, plus where admins configure limits and review diagnostics logs.
Allison announces a public preview feature where GitHub code scanning surfaces AI-powered security detections directly on pull requests, helping teams catch issues in languages and frameworks that don’t have native CodeQL coverage. The update explains what’s included, how it runs, enablement requirements, and how billing works via AI credits.
akhilkarmalkar announces Azure Front Door edge actions (public preview), a way to run lightweight JavaScript during request processing at Microsoft’s global edge. The post explains where edge actions run in the Front Door pipeline, what scenarios they enable (routing, headers, auth checks), and how Hyperlight micro-VM isolation is used to keep execution secure.
Rahul Bhandari (MSFT) and Tara Overfield recap the July 2026 servicing releases for .NET and .NET Framework, including a list of fixed security vulnerabilities (CVEs) and direct links to release notes, installers, container images, Linux package instructions, and known issues for supported .NET versions.
David Ortinau shares a progress update on moving .NET MAUI mobile apps to CoreCLR in .NET 11 Preview 6, including current performance expectations, tooling status (debugging and Hot Reload), and what developers should validate now to influence the .NET 11 GA release.
.NET Team announces .NET 11 Preview 6 and highlights what’s new across the runtime, SDK, libraries, ASP.NET Core, .NET MAUI, C#, Entity Framework Core, F#, and container images, with links to detailed release notes and download instructions to try the preview.
Simona Liao, Wendy Breiding, and Yun Jung Choi introduce Visual Studio 18.8’s built-in Agent Skills, a set of reusable Copilot capabilities for common .NET and Azure tasks. The post explains where to find and enable skills, why they’re off by default, and highlights starter skills for API work, performance reviews, Azure deployments, and Kusto queries.
Allison announces a new default safety behavior in Dependabot: version update pull requests will wait three days after a release appears in its registry, reducing the risk of immediately adopting compromised or broken dependency releases while keeping security updates immediate.
Michael Washington explains how he built AI Story Builders, an open-source app that uses structured story data, embeddings, and RAG, plus a knowledge-graph layer, to help authors generate more coherent fiction and query story context more reliably.
arindamc shows how to build a “row-to-intelligent-action” pipeline in Microsoft Fabric: capture Azure SQL changes via CDC into Fabric Eventstreams, reshape them with DeltaFlow, enrich each micro-batch in Spark Structured Streaming using AI Functions for PySpark, and publish Business Events for real-time routing and dashboards.
Erik Ejlskov Jensen presents SQL Database Project Power Tools, focusing on improving the day-to-day workflow for SQL Database Projects by extending the tooling developers use in Visual Studio and SQL Server Management Studio (SSMS).
Visual Studio Code shows how to run language models locally in VS Code using the Ollama extension, including configuring custom models, bring-your-own-key providers, and utility model settings, with an emphasis on keeping processing private on your machine.
Allison announces a public preview feature in the GitHub Copilot app: the /security-review slash command, which runs an on-demand security review of your in-flight code changes and returns prioritized findings with suggested fixes you can apply and re-check without leaving Copilot.
Lee Stott tours Microsoft’s open-source course on taking AI agents from prototype to production using Microsoft Agent Framework and Microsoft Foundry, covering agent design, multi-agent orchestration, evaluation, deployment, data sovereignty, and tool governance with concrete commands and code patterns.
jisunchoi explains how to replace “multi-model chaos” with a governed AI gateway on Azure using Azure API Management, covering cost controls (token quotas and budget-based model downgrades), security hardening (managed identity + private endpoints), observability with Application Insights, and a Terraform-based deployment you can integrate with GitHub Copilot.
Allison announces generally available GitHub REST API endpoints for creating, updating, listing, and deleting secret scanning custom patterns across repository, organization, and enterprise scopes, with dry runs and publishing still handled in the UI.
Bruno Capuano and Pablo Nunes Lopes host a .NET + AI Community Standup covering recent updates around agent development in .NET, running models locally, and using GitHub Copilot in modernization scenarios, with pointers to Microsoft Learn resources for getting started.
Allison announces a new billing estimate view for GitHub Code Quality in public preview, showing active committers and an estimated monthly license cost so enterprises can understand expected charges before general availability.
James Rempt explains how Azure Dev/Test pricing (included with eligible Visual Studio subscriptions) can reduce the cost of running non-production Azure environments, making it easier to provision production-like resources for testing, validation, and CI/CD workflows without letting cloud spend slow down iteration.
Microsoft Security Research and the Microsoft Defender Security Research Team break down ShinyHunters-linked campaigns abusing OAuth trust in Salesforce and related SaaS integrations, then map practical detection and governance steps using Microsoft Defender for Cloud Apps, including new Salesforce connector telemetry, posture insights, and KQL hunting queries.
shiv_narayanan summarizes recent Dataverse Fabric Link updates that make it easier to control which Dataverse tables are synced into Microsoft Fabric, improve production-ready authentication options, and reduce sync latency so operational data shows up faster in OneLake-backed analytics workloads.