How .NET Developers Can Get More Out of GitHub Copilot

Microsoft is highlighting new ways .NET developers can get more value from GitHub Copilot, focusing on practical workflows instead of simply learning every feature individually. The latest guidance explores how developers can use Copilot across tools like Visual Studio, Visual Studio Code, the Copilot CLI, and cloud coding agents to improve planning, reasoning, and execution.

As AI-assisted development continues to evolve, Microsoft is encouraging developers to adopt more agentic and collaborative coding workflows that help streamline day-to-day development tasks.

Here’s how you can start using chat for reasoning and agentic workflows for execution instead of trying to learn every single feature:

• Match the Tool to the Work

  Visual Studio, Visual Studio Code, the Copilot CLI, and the cloud coding agent each excel at different kinds of .NET tasks. Instead of asking which tool is “most advanced,” focus on which one best fits the work you need to complete right now.

• Focus on the Task Before the Feature

  The fastest way to get value from Copilot is by asking what part of the task you can delegate. For example, before modifying a legacy ASP.NET Core service, use chat to understand dependencies, feature flags, and business logic so you can work with confidence instead of making blind changes.

• Build Better Prompts for Better Results

  Strong .NET prompts usually include four things: the goal, the related code or output, the constraints, and the expected result. Giving Copilot clear context helps produce answers that are more accurate, actionable, and aligned with your coding standards.

• Put Agentic Workflows into Practice

  Agentic workflows are most effective for tasks that are multi-step, reviewable, and clearly scoped. They can help clean repetitive logging, resolve nullable warnings, refactor guard clauses, or modernise result-handling patterns while keeping the work structured and traceable.

• Know When to Use Chat vs Agents

  Use chat when you need help understanding, outlining, comparing, explaining, or drafting. Use agentic workflows when you need assistance making updates, verifying changes, rerunning checks, and delivering a reviewable result.

• Develop Habits That Improve Copilot Output

  Always define boundaries, state constraints clearly, and explain what must not change before starting a task. For .NET projects, this could mean preserving public APIs, following existing xUnit patterns, keeping DI registration styles consistent, or limiting nullable annotation updates to a specific project.

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Plan, Review, Refine: What’s New in Visual Studio This May 2026

Microsoft has released its May 2026 update for Visual Studio, introducing new features designed to improve how developers plan, review, and refine their work. The update brings AI-assisted workflow enhancements, including the new Plan agent, improved multi-file review experiences, and better management of Agent Skills within GitHub Copilot. Together, these additions aim to create a more deliberate and collaborative development process inside Visual Studio.

Here are some of the standout updates:

• Plan before you build with the Plan Agent

  Instead of jumping straight into code, you can now collaborate with Copilot on an implementation plan first — with zero changes made to your codebase until you’re ready.

• View and manage Agent Skills

  As your Agent Skills library grows, staying organised matters. The new Skills panel gives you a centralised place to discover, review, and manage skills from your workspace and user profile.

• Manage context window usage

  Copilot conversations rely on context history, attached files, and previous prompts. Visual Studio now shows how much of the context window you’ve used, helping you avoid losing important conversation details.

• Multi-file summary diff for Copilot changes

  Reviewing multiple edited files one by one can slow you down. The new summary diff combines all Copilot-generated changes into a single unified review experience.

• Multi-file summary diff beyond Copilot

  The same streamlined review experience now works for commits and pull requests too, making it easier to understand changes across multiple files at a glance.

• Commit message instructions moved

  Commit message custom instructions are no longer managed in Source Control Integration settings. They’ve now moved to the Copilot custom instructions file within your repository.

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Power BI Introduces Outbound Access Protection for Semantic Models

Microsoft is expanding security controls in Power BI with the preview release of Outbound Access Protection (OAP) for semantic models. The update gives organizations more control over outbound connections by allowing only trusted destinations for workspace traffic. This marks another step toward stronger governance and protection for sensitive data environments in Microsoft Fabric.

Here’s what you need to know:

• What is OAP?Outbound Access Protection (OAP) is a workspace-level network security feature that blocks outbound traffic by default and only allows connections to trusted destinations you explicitly approve.

• How does outbound data move from semantic models?

  Semantic models can connect across workspaces and access cloud or on-premises data sources, including destinations outside your organisation’s data boundary. Composite models can also transfer data between sources when using DirectQuery mode.

• How does OAP work?

  OAP is managed through a single workspace setting. By enabling “Block outbound public access” under Network security, all outbound connections are denied unless an exception is configured.

• Getting started with OAP:

  Confirm your workspace is using an F SKU, enable the required tenant setting, and ensure the workspace only contains OAP-supported items before turning on “Block outbound public access” under Network security. After adding exceptions for approved destinations, allow time for the policy to propagate and validate connections to confirm everything is working correctly.

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Dynamics 365 Customer Service Introduces Data Sensitivity Labels for Customer Emails

Microsoft is introducing Data Sensitivity Labels for Emails in Dynamics 365 Customer Service, helping organisations better protect sensitive customer communications. Powered by Microsoft Purview, the capability brings classification, encryption, and compliance controls directly into customer service workflows. The update aims to help service teams maintain both security and productivity when handling confidential customer information.

Here’s what you need to know:

• How does sensitive information get exposed?

  A single forwarded email, broad recipient list, or accidental share can expose confidential customer information in seconds.

• What are Data Sensitivity Labels?

  Powered by Microsoft Purview, Data Sensitivity Labels classify outbound customer emails based on the sensitivity of their content and automatically apply the appropriate protection before sending. Using familiar labels such as Public, Confidential, and Highly Confidential, organisations can ensure every email aligns with existing security and compliance policies.

• How does it work?

  As service representatives draft customer emails, Dynamics 365 surfaces Microsoft Purview sensitivity labels directly within the workflow, making it easy to classify and protect sensitive information before sending. Once applied, the labels automatically enforce security policies such as restricting external forwarding and unauthorised access while keeping the experience seamless for both agents and customers.

• Key capabilities

  The feature includes Purview-backed sensitivity labels, in-context classification guidance, and automated protection aligned with existing compliance policies. It helps organisations maintain consistent security, governance, and enterprise-grade compliance across customer communications.

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Plan Before You Build with the New Plan Agent in Visual Studio

Microsoft is introducing the Plan Agent in Visual Studio, a new AI-powered capability designed to help developers map out implementation plans before writing code. The feature enables developers to collaborate with AI by asking clarifying questions, refining requirements, and reviewing structured plans before execution begins. With planning-first workflows becoming more important in AI-assisted development, the Plan Agent aims to make coding more transparent, organized, and predictable.

Here’s how it works:

1. Start with your idea

   Choose the Plan Agent in Copilot Chat and describe what you want to build. Whether it’s “add authentication to this app” or “refactor the payment module for multiple providers,” the more context you provide, the better the plan becomes.

2. Explore and clarify

   Copilot scans your codebase using read-only tools and asks clarifying questions when needed, helping it better understand your goals before drafting a plan.

3. Define and refine

   A detailed implementation plan is generated for review. You can ask Copilot to rethink approaches, consider edge cases, break tasks into smaller steps, or adjust impacted files.

4. Edit collaboratively

   Plans are saved as markdown files inside .copilot/plans/plan-{title}.md, making them easy to edit, review with your team, and continuously refine.

5. Implement when ready

   Once you’re satisfied, select “Implement plan” to hand it over to Agent mode. No code changes happen until you approve them, giving you full visibility and control throughout the process.

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New Power Query Experience Arrives in Power BI Desktop (Preview)

Microsoft has introduced a preview of a redesigned Power Query Get Data experience in Power BI Desktop, aimed at modernising how users discover and connect to data sources. The update focuses on a more streamlined connection flow alongside improved accessibility features, including better navigation support and usability enhancements. This marks another step toward unifying the data preparation experience across Microsoft’s data ecosystem.

Here’s what you need to know:

• Why was this feature introduced?

  As the number of connectors and data sources in Power BI continues to grow, finding and connecting to the right data can become more complex. Microsoft redesigned the Get Data experience to make data discovery faster, simplify connection flows, and create a more accessible and user-friendly experience.

• What’s new?

  The new Get Data experience introduces a modernised interface designed to help users discover, connect, and transform data with less friction. A streamlined navigation pane now makes it easier to quickly access recent data, OneLake Catalog, blank queries, and other commonly used options.

• A simpler and more connected data experience

  Connecting to data is now more cohesive, reducing the need to jump between multiple dialogs. Settings, authentication, and connection configurations are now managed in a more unified flow, helping users move faster from selecting a source to shaping and analyzing data.

• Designed for accessibility and usability

  The redesigned experience includes full keyboard navigation support to make workflows more efficient and accessible without relying heavily on a mouse. It also supports dark mode, creating a more comfortable viewing experience across different environments.

• What’s the impact for users?

  The new experience helps users spend less time searching for data sources and move faster into analysis and modeling. Whether you’re a beginner or an experienced professional, it creates a smoother and more efficient workflow in Power BI.

• Get started

  Open Power BI Desktop and navigate to File > Options and settings > Options > Preview features to enable the “New Power Query experience” option. Restart Power BI Desktop, select Get Data, and start exploring the redesigned experience.

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Dynamics 365 Introduces AI Credit Estimation for Service Operations

As AI agents take on a larger role in customer service operations, Microsoft is introducing AI Credit Estimation in Dynamics 365 Customer Service and Contact Center. The new capability helps organizations translate forecasted service demand into projected AI usage and credit consumption, giving teams greater visibility into operational and financial planning. With AI becoming part of the workforce itself, Dynamics 365 is evolving workforce management to include both human and AI-driven capacity planning.

Here’s how AI Credit Estimation in Dynamics 365 Customer Service and Contact Center can help organisations plan smarter:

• What’s creating the planning gap?

  Traditional workforce planning models were built around people, not AI agents. While organisations can forecast case volumes and service demand, many still struggle to translate that into expected AI usage and cost.

• Why use AI Credit Estimation?

  AI Credit Estimation provides a transparent way to map forecasted workloads to projected AI credit consumption. It brings AI usage into the planning process alongside staffing ratios, service levels, and case forecasts — helping teams move from assumptions to measurable operational insights.

• Step 1: Create a Forecast Scenario

  Build a forecast scenario in Dynamics 365 Customer Service or Contact Center by defining your planning horizon, queues, and communication channels. Using historical trends, seasonality, and traffic patterns, the platform generates a data-driven prediction of future demand.

• Step 2: Select AI Agents

  Open the AI Credit Estimator and choose the agents you want to model. Supported out-of-the-box agents include: Quality Evaluation Agent, Case Management Agent, and Customer Intent Agent.

• Step 3: Review AI Credit Estimates

  The estimator maps forecasted workloads to projected AI credit usage, giving teams a clear view of both expected service demand and the AI capacity required to support it. This enables organizations to validate assumptions, refine planning scenarios, and make more informed operational decisions before scaling AI initiatives.

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Dynamics 365 Customer Service Brings Emotional Intelligence to Customer Emails

Microsoft is introducing Email Sentiment in Dynamics 365 Customer Service, an AI-powered capability that helps service teams recognize emotional tone directly within customer emails. By surfacing sentiment insights early, organizations can respond with greater empathy, prioritize higher-risk conversations, and improve customer experiences at scale.

Here’s what you need to know:

• What is Email Sentiment?

  Email Sentiment automatically analyses incoming customer emails and classifies their tone as Positive, Neutral, or Negative. These insights appear directly within the email and case workspace before a response is drafted, helping service representatives understand not only what customers are saying, but how they feel.

• Why sentiment awareness matters

  Customers communicate differently across cultures, languages, and experiences, making emotional cues easy to miss in high-volume support environments. Email Sentiment helps organizations identify frustrated customers earlier, respond more empathetically, and reduce escalations through better-informed communication.

• How it works

  Imagine a customer reaching out after repeated service disruptions. Email Sentiment flags the message as Negative before the representative replies, allowing them to acknowledge frustration upfront, respond with empathy, and focus immediately on resolution.

• Key capabilities

  Email Sentiment includes automatic sentiment detection, in-context emotional insights, language-aware AI, and actionable emotional signals directly within the workflow. It also supports sentiment timelines and case sentiment tracking to help teams better understand customer interactions over time.

• Designed for customer-focused organisations

  Email Sentiment in Dynamics 365 Customer Service complements Email Assist and case management by bringing emotional intelligence directly into everyday support interactions — helping empathy become part of the workflow, not just an individual skill.

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Microsoft Introduces Copilot Cowork for Action-Driven AI Workflows

Microsoft is taking AI beyond conversations with the introduction of Copilot Cowork, a new Microsoft 365 experience designed to turn prompts into real actions across apps, workflows, and devices. The latest update brings built-in skills, integrations, and custom automation capabilities that help users coordinate work, create content, and manage tasks more efficiently. With support across desktop and mobile, Microsoft is positioning Copilot as a more capable digital coworker for everyday business operations.

Here’s what you need to know:

• What is Copilot Cowork?

  Copilot Cowork is built on Work IQ, Microsoft’s intelligence layer that understands your data, tools, and organisation. This allows Cowork to plan, act, and deliver outcomes based on how your business actually operates — not just information from the public internet.

• Assign tasks on the go

  Cowork is available on iOS and Android, making it easy to delegate work anytime, anywhere. While you focus on higher-value priorities, Cowork can handle tasks in the background for you.

• Use it with Cowork Skills

  Many business processes follow repeatable patterns — and that’s where Skills come in. Skills are reusable instruction sets that guide Cowork on how to complete tasks consistently using your preferred structure, tone, and workflow.

• Connect work with Cowork Plugins

  Copilot Cowork integrates with Microsoft tools like Power BI, Dynamics 365, and ERP systems so it can work across your organisation’s existing platforms. It also supports third-party connectors and custom plugins, helping businesses automate workflows and extend AI capabilities into their unique systems.

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Power Fx User Defined Types Are Now Generally Available in Power Apps

Microsoft has announced the general availability of User Defined Types (UDTs) in Power Fx for Power Apps, bringing makers more flexibility when building scalable and maintainable applications. The update enables developers to structure records and tables more effectively, helping simplify complex formulas and improve app readability. With UDTs now production-ready, Power Fx continues evolving into a more powerful low-code programming language for enterprise app development.

Here’s what you need to know:

• Records and Tables as Parameters and Return Values

  User Defined Types help make formulas easier to read, write, and maintain by grouping related information into structured data types. This also reduces errors through strong typing, especially when working with JSON data. For example, details like a book title, author, page count, and publication year can all be grouped into a single typed structure using the Type function in the App object’s Formulas property.

• UDTs and JSON

  Working with JSON becomes more reliable with UDTs by validating and converting untyped text into typed Power Fx objects. Since JSON doesn’t support native date/time types and often stores them as ISO 8601 strings, UDTs help ensure values are correctly interpreted and handled correctly.

• IsType and AsType

  Need more control when converting values? IsType and AsType let you safely check and convert Dynamic values into strongly typed objects while helping avoid runtime errors.

• RecordOf

  RecordOf makes it easier to define functions that work with individual records from a table structure, helping you build cleaner, reusable, and scalable formulas.

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