In a landmark moment for the world of cross-platform app development, the highly anticipated release of .NET MAUI in .NET 8 has emerged as a game-changer, poised to revolutionize the way applications are built and deployed across diverse platforms. Designed to empower .NET developers with unparalleled flexibility and efficiency, .NET MAUI offers a comprehensive solution for crafting cross-platform applications for Android, iOS, macOS, and Windows. With its seamless integration of native functionalities, platform-specific user interfaces, and innovative hybrid experiences, .NET MAUI stands at the forefront of a new era in application development.

The release of .NET 8 represents a significant milestone in the evolution of .NET MAUI, marked by a series of groundbreaking advancements and quality enhancements. Noteworthy achievements include:

• A staggering 1618 pull requests merged, reflecting a collaborative effort of unprecedented scale and scope.
• Resolution of 689 bug issues, indicative of a relentless commitment to refining and enhancing the framework’s stability and performance.

These achievements underscore the dedication and ingenuity of the development community, with contributions from diverse teams at Microsoft and the broader community shaping .NET MAUI into a robust and versatile framework that meets the evolving needs of developers worldwide.

A Focus on User Experience: Key Areas of Improvement

In response to invaluable user feedback, .NET MAUI has prioritized key areas for improvement, including:

• Optimization of keyboard behavior to ensure seamless user interaction across different devices and platforms.
• Enhanced support for right-to-left languages, catering to a global audience and facilitating localization efforts.
• Improvements in layout fidelity and performance, guaranteeing a consistent and responsive user experience across various screen sizes and resolutions.
• Streamlined scroll performance for smoother navigation and enhanced usability.
• Advanced memory management techniques to optimize resource utilization and enhance overall application performance.

These refinements aim to elevate the development experience and empower developers to create engaging and immersive cross-platform applications that resonate with users worldwide.

Exploring the Latest Innovations in .NET MAUI

Keyboard Accelerators: Empowering Productivity

The introduction of keyboard accelerators enables developers to associate shortcuts with menu items in desktop applications, thereby enhancing productivity and streamlining user interactions. This feature empowers users to perform tasks more efficiently, leveraging keyboard commands for swift execution.

Enhancing Interactivity

.NET MAUI introduces enhancements to PointerGesture, allowing developers to leverage PointerPressed and PointerReleased events for more precise interaction tracking. These enhancements foster greater user engagement and responsiveness across multiple platforms, creating a more immersive and intuitive user experience.

Customizing User Experience

Enhancements to drag and drop gestures provide developers with greater control and flexibility in customizing the user experience. With features such as custom glyphs, captions, and drop actions, .NET MAUI empowers developers to create intuitive and immersive applications that cater to the unique needs and preferences of their users.

Performance and Memory Improvements

.NET 8 introduces significant improvements in performance, app size, and memory management, enabling developers to create smoother and more efficient applications. New features such as AndroidStripILAfterAOT, AndroidEnableMarshalMethods, and NativeAOT for iOS optimize application performance and resource utilization, ensuring a superior user experience.

Enriching the Development Experience

From enhanced WebView capabilities to improvements in TapGestureRecognizer and Blazer WebView, .NET 8 introduces a myriad of new features and enhancements that enrich the development experience. These updates empower developers to create high-quality cross-platform applications with ease, fostering creativity and innovation in the development process.

Community Contributions and Support

One of the hallmarks of the .NET MAUI project is the vibrant and inclusive community that actively participates in its development and evolution. With a total of 94 contributors, including teams from Microsoft and dedicated community members, the collaborative effort behind .NET MAUI underscores the collective passion and commitment to driving innovation in cross-platform app development.

The diverse perspectives and expertise brought forth by community contributors have played a pivotal role in shaping the direction and feature set of .NET MAUI. Through open communication channels, forums, and collaborative platforms, developers from all backgrounds have the opportunity to contribute code, provide feedback, and share insights, fostering an environment of continuous improvement and shared learning.

Embracing The Future

As .NET MAUI and .NET 8 continue to evolve and mature, the future of cross-platform app development looks brighter than ever before. With ongoing advancements, feature enhancements, and community-driven initiatives, .NET MAUI is poised to remain at the forefront of innovation, empowering developers to create next-generation applications that transcend boundaries and redefine user experiences.

By embracing collaboration, innovation, and continuous learning, developers can unlock the full potential of .NET MAUI and .NET 8, paving the way for a future where cross-platform app development knows no limits.

Getting Started

Developers can access .NET MAUI and .NET 8 through the latest stable release of Visual Studio 2022 17.8 or utilize Visual Studio Code with the .NET MAUI extension for a versatile development environment.

  dotnet workload install maui 

The .NET 8 installer and command-line tools simplify installation and setup, enabling developers to hit the ground running with .NET MAUI and embark on their journey towards creating innovative cross-platform applications.

Conclusion

In conclusion, the release of .NET MAUI in .NET 8 heralds a new era of possibilities for cross-platform app development. With its robust framework, powerful features, and vibrant community, .NET MAUI empowers developers to create immersive, feature-rich applications that delight users across diverse platforms.

As developers embark on their journey with .NET MAUI and .NET 8, they are poised to redefine the way applications are built, deployed, and experienced in the digital age. By embracing collaboration, innovation, and creativity, developers can unlock endless opportunities and shape the future of cross-platform app development for generations to come.

Together, let us embrace the future and embark on a journey of exploration, discovery, and innovation with .NET MAUI and .NET 8. The possibilities are limitless, and the future is ours to create.

ML.NET, the open-source machine learning framework for .NET developers, has just unveiled its highly anticipated version 3.0, packed with an array of new features and enhancements. This release marks a significant milestone in the evolution of ML.NET, empowering developers to seamlessly integrate custom machine learning models into their .NET applications with ease and efficiency.

Expanding Deep Learning Capabilities

One of the most exciting aspects of the ML.NET 3.0 release is the substantial expansion of deep learning scenarios. With the integration of TorchSharp and ONNX models, developers can now leverage cutting-edge capabilities in Object Detection, Named Entity Recognition (NER), and Question Answering (QA). These advancements open up a plethora of possibilities for applications requiring advanced computer vision and natural language processing capabilities.

Object Detection

Object detection, a crucial computer vision problem, has been significantly enhanced in ML.NET 3.0. Leveraging TorchSharp-powered Object Detection APIs, developers can now perform image classification at a granular scale, accurately locating and categorizing entities within images. This feature is particularly useful in scenarios where images contain multiple objects of different types, enabling developers to build more sophisticated and intelligent applications.

Named Entity Recognition and Question Answering

Natural Language Processing (NLP) has seen remarkable advancements in the areas of Named Entity Recognition (NER) and Question Answering (QA). With ML.NET 3.0, developers can harness the power of TorchSharp RoBERTa text classification features to unlock these capabilities within their applications. The NER and QA trainers included in the release empower developers to extract valuable insights from textual data, facilitating more intelligent and context-aware applications.

Intel oneDAL Training Acceleration

ML.NET 3.0 introduces Intel oneDAL training acceleration, a groundbreaking feature that leverages highly optimized algorithmic building blocks to speed up data analysis and machine learning processes. By harnessing the power of SIMD extensions in 64-bit architectures, Intel oneDAL accelerates training tasks, enhancing the overall performance and efficiency of ML.NET applications. This integration represents a significant leap forward in training efficiency, enabling developers to train models faster and more effectively than ever before.

Automated Machine Learning (AutoML)

Automated Machine Learning (AutoML) is another key feature of ML.NET 3.0, automating the process of applying machine learning to data. With several new capabilities added to the AutoML experience, developers can now explore a wider range of machine learning scenarios. The AutoML Sweeper now supports Sentence Similarity, Question Answering, and Object Detection, expanding the scope of automated model generation. Additionally, continuous resource monitoring ensures the stability and reliability of long-running experiments, enabling developers to avoid crashes and failed trials.

DataFrame Enhancements

ML.NET 3.0 brings a plethora of enhancements to DataFrame, the versatile data manipulation tool. Community contributions, such as those from Aleksei Smirnov, have played a crucial role in improving DataFrame functionality. With support for String and VBuffer column types, increased data storage capacity, and enhanced data loading scenarios, DataFrame has become even more powerful and flexible. These enhancements streamline the data processing pipeline, empowering developers to work with large datasets more efficiently.

Integration with Tensor Primitives

ML.NET 3.0 integrates seamlessly with Tensor Primitives, a set of APIs that introduce support for tensor operations. This integration not only improves performance but also enhances the usability and functionality of ML.NET. By leveraging Tensor Primitives, developers can perform complex tensor operations with ease, unlocking new possibilities for advanced machine learning applications. Additionally, the integration serves as a valuable testing ground for the TensorPrimitives APIs, ensuring their stability and reliability in real-world scenarios.

Enhanced Integration with TorchSharp and ONNX Models

The integration with TorchSharp and ONNX models in ML.NET 3.0 opens up new avenues for developers to leverage state-of-the-art deep learning models in their applications. TorchSharp, a .NET binding to the popular PyTorch library, provides access to a vast array of pre-trained models and enables seamless interoperability between .NET and Python environments. With ONNX (Open Neural Network Exchange), developers can easily import and export models between different deep learning frameworks, facilitating collaboration and knowledge sharing within the machine learning community. By harnessing the power of TorchSharp and ONNX, developers can tap into a wealth of resources and expertise to accelerate their deep learning initiatives and build more sophisticated and intelligent applications.

Streamlined Data Processing with DataFrame

DataFrame, a core component of ML.NET, has undergone significant enhancements in version 3.0, making data processing tasks more efficient and intuitive. With support for String and VBuffer column types, developers can now work with a wider range of data formats and structures, enhancing the flexibility and versatility of DataFrame. Additionally, improvements to data loading scenarios enable seamless integration with SQL databases and other data sources, simplifying the process of importing and exporting data. These enhancements empower developers to handle large datasets with ease, enabling them to extract valuable insights and drive informed decision-making in their applications.

Community Contributions and Collaboration

The success of ML.NET 3.0 would not have been possible without the invaluable contributions and collaboration of the developer community. Community members such as Aleksei Smirnov and Andras Fuchs have played a crucial role in enhancing DataFrame functionality and implementing new features. Their dedication and expertise have enriched the ML.NET ecosystem and contributed to the overall success of the framework. Moving forward, the ML.NET team remains committed to fostering an inclusive and collaborative environment where developers from all backgrounds can contribute their ideas, insights, and expertise to drive innovation and excellence in machine learning.

Future Roadmap and Innovation

Looking ahead, the ML.NET team is already hard at work on the next iteration of the framework, with plans for .NET 9 and ML.NET 4.0 in the pipeline. As the field of machine learning continues to evolve, the team remains focused on expanding deep learning capabilities, enhancing DataFrame functionality, and integrating new APIs and technologies into the framework. With each new release, ML.NET aims to push the boundaries of what’s possible in machine learning for .NET developers, empowering them to build smarter, more efficient, and more impactful applications. Stay tuned for more updates and announcements as we continue our journey towards the future of machine learning with ML.NET.

Conclusion

In conclusion, ML.NET 3.0 represents a significant milestone in the evolution of machine learning for .NET developers. With expanded deep learning capabilities, enhanced data processing tools, and streamlined integration with cutting-edge technologies, ML.NET empowers developers to build intelligent, efficient, and scalable applications with ease. Whether you’re a seasoned machine learning practitioner or just getting started with AI development, ML.NET provides the tools, resources, and community support you need to succeed. Embrace the power of machine learning in your .NET applications and unlock a world of possibilities with ML.NET 3.0.

Using a clean architecture when developing software applications is very common. Maintainability is enhanced when distinct application layers are clearly defined by a clean architecture. Furthermore, to facilitate the transition to new technologies, the Clean Architecture approach strives to maintain the business logic’s independence from any external frameworks or libraries.

We will examine the application of clean architecture concepts in the organization of a .NET project.

The solution is split into four primary levels using the Clean Architecture approach:

• Domain (central reasoning)
• Use cases for applications
• Infrastructure (caching, data access, etc.)
• Display (open-access API)

Application of Clean Architecture

In a.NET project, how can a clean architecture be implemented?

Making a distinct project for each of the four layers depicted in the diagram is the simplest approach.

However, we will modify this strategy a little bit later in the piece.

Let us now discuss each layer separately.

Domain Layer

The domain logic of the application is specified at the domain layer. Entities, value objects, domain services, domain exceptions, domain events, repository interfaces, and other items are contained in this layer. The domain layer’s independence from all other layers is crucial. Only.NET primitive types (int, string, etc.) are necessary for it. There are two typical methods for organizing files into folders inside a domain project.

Sorting files according to their type would be the first option:

Every exception goes in the Exception folder, every entity goes in the Entities folder, and so on. Using entity folders is an alternative strategy. For instance, if the application has user and order-related domain logic, the file structure would resemble this:

Grouping by functionality by type (the first option) may be more effective for a big domain layer because it will be easier to choose a folder in which to place the file. Nonetheless, such challenges can arise with the second method, for instance, if the same value object is a part of multiple distinct entities.

Besides entities, value objects, repository interfaces, and domain exceptions, the Domain Layer should include aggregates, domain services, domain events, specifications, factories, and repositories. These components are essential for encapsulating business logic, maintaining transactional integrity, handling complex operations, and managing interactions with data storage mechanisms. By incorporating these elements, the Domain Layer becomes the focal point for expressing core business concepts and rules, thereby enhancing maintainability and flexibility in the application.

Application Layer

The use cases for an application are contained in the application layer. These use cases might be implemented as application service classes or as handlers for commands and queries. Additionally, infrastructure abstractions (such as those for emailing, caching, and other functions) are typically defined at the application layer.

This is an example of the folder structure:

The application layer only has a relationship to the domain layer in terms of references to other projects. It serves as the orchestrator of the system, coordinating interactions between the domain layer and the infrastructure layer. It ensures that business rules are applied correctly while leveraging external services and resources to fulfill the application’s requirements. By keeping this layer focused on use cases and abstractions, developers can achieve a clean separation of concerns and maintainability throughout the project’s lifecycle.

Infrastructure Layer

Application and domain layer abstractions are implemented via the infrastructure layer.

The following items may be found in the infrastructure layer:

• Migrations of databases and repositories
• The deployment of caching services
• Identity provider implementation
• Putting email providers into practice

The infrastructure layer can eventually grow too bloated if it is implemented as a single project. We can implement the infrastructure layer as a subdirectory containing different projects to get around this issue:

Apart from migrations, caching, and email services, additional components like external services integration, logging, data access implementations, file storage, security and authentication, background jobs, and message brokers can be included. These components facilitate interaction with external systems, logging application activities, accessing data, storing files, ensuring security, handling background tasks, and enabling communication between different parts of the application. This method offers a more effective division of responsibilities. To implement the abstractions defined in the domain and application projects, the infrastructure layer needs to make reference to them.

Presentation Layer

The application’s entry point is the presentation layer. It has a public API that external users and applications can connect with, such as RESTful endpoints. The Presentation layer also includes middlewares and other components required to handle incoming requests in addition to endpoints.

Furthermore, the presentation project serves as the foundation for the full solution’s development. The configuration for dependency injection is located in the composition root. Usually, the Program class’s extension methods are called in succession to do this:

builder.Services
   .AddDomainServices()
   .AddApplicationServices()
   .AddDataAccessServices()
   .AddEmailNotificationSErvices()
   .AddCachingServices();

The presentation layer must reference the application layer in order to execute application use cases.

Providing a user-friendly interface and controlling interactions with the application are the main priorities of the presentation layer. This comprises parts such as views, controllers, and user interface elements. Along with handling cross-cutting issues like error management and logging, it also takes care of security and authentication. It serves as a link between users and the hidden features of the application.

Wrapping Up

In conclusion, there are several advantages to using a Clean Architecture approach in a .NET project, such as improved scalability, maintainability, and adaptation to new technologies. Developers can retain the independence of business logic from external frameworks or libraries and provide a clear separation of concerns by organizing the project into various layers, namely domain, application, infrastructure, and presentation.

From specifying the fundamental domain logic to controlling user interactions via the presentation layer, each layer has a distinct function. This project organization not only encourages testability and code reuse, but it also makes it easier for development teams to collaborate and makes upgrades and revisions easier in the future.

In .NET 8, ASP.NET Core provides a comprehensive solution for contemporary web development. It takes care of all your front-end and back-end web development requirements. Blazor offers dependable, high-performance backend APIs and services that let you create stunning, richly interactive web experiences. Cloud-native application development is made easy with ASP.NET Core in .NET 8, and productivity is enhanced by excellent tools in Visual Studio and Visual Studio Code. Every developer is a full stack developer with ASP.NET Core in .NET 8!

Let’s examine some of the fantastic enhancements and new features that ASP.NET Core in .NET 8 has to offer.

Advantages of Using Native AOT With ASP.NET Core

Publishing and deploying a native AOT program can bring the following advantages:

• Reduced disk footprint: When publishing with native AOT, a single executable is created that includes the program as well as a subset of code from external dependencies that the program utilizes. Reduced executable size may lead to:
  • Smaller container images, such as those used in containerized deployments.
  • Smaller pictures lead to a faster deployment time.
• Reduced startup time: The absence of JIT compilation allows native AOT programs to start up faster.
  • Reduced start-up time means the program can handle requests more quickly.
  • Improved deployment by using container orchestrators to control app version transitions.
• Reduced memory demand: Because ASP.NET Core apps are published as native AOT, they can have lower memory demands depending on the work being done, as the new DATAS GC mode is automatically enabled. Reduced memory consumption can result in higher deployment density and better scalability.

AOT compatibility for both ASP.NET Core and native

Not every functionality in ASP.NET Core is compatible with native AOT. Similarly, not all libraries used in ASP.NET Core are compatible with native AOT. .NET 8 marks the beginning of efforts to enable native AOT in ASP.NET Core, with an emphasis on enabling support for apps that use Minimal APIs or gRPC and are deployed in cloud settings.

Native AOT apps have a few core compatibility requirements. The main ones include:

• No dynamic loading (such as Assembly.LoadFile).
• No runtime code generation by JIT (for example, System.Reflection.Emit)
• No C++/CLI
• No built-in COM (only applicable to Windows).
• Requires trimming, which has restrictions.
• Implies compilation into a single file with known incompatibilities.
• Apps include required runtime libraries (like self-contained apps, increasing their size as compared to framework-dependent apps).

AOT with minimal APIs and native capabilities

Developers introduced the Request Delegate Generator (RDG) to ensure that Minimal APIs are compatible with native AOT. The RDG is a source generator that does similar work to the RequestDelegateFactory (RDF), converting the various MapGet(), MapPost(), and so on calls in your application into RequestDelegates associated with the specified routes, but it does so at compile time and generates C# code directly into your project. This removes the runtime creation of this code and ensures that the types used in your APIs are retained in your application code in a fashion that the native AOT tool-chain can statically analyze, guaranteeing that required code is not clipped. They’ve worked to guarantee that the RDG supports the majority of the Minimal API features you use today, making them compatible with native AOT.

.NET WebAssembly enhancements

Running .NET code on WebAssembly from the browser has been considerably enhanced in .NET 8. Your .NET code will run significantly quicker thanks to the new Jiterpreter-based runtime, which supports partial just-in-time (JIT) compilation for WebAssembly. With the new runtime, components render 20% quicker, and JSON deserialization is twice as quick!

The .NET WebAssembly runtime also supports numerous new edit types with Hot Reload, including full compatibility with CoreCLR’s Hot Reload capabilities and generic type editing. WebCIL, a new web-friendly packaging format for Blazor WebAssembly programs, simplifies deployment by eliminating all Windows-specific parts from.NET assemblies and repackaging them as WebAssembly files. WebCIL allows you to deploy your Blazor WebAssembly programs with certainty.

JavaScript SDK and project framework

Working with ASP.NET Core frequently necessitates the use of JavaScript and the JavaScript ecosystem. Bridging the .NET and JavaScript worlds can be difficult. The new JavaScript SDK and project system in Visual Studio make it simple to integrate .NET with frontend JavaScript frameworks. The JavaScript SDK integrates MSBuild, allowing you to build, run, debug, test, and publish JavaScript or TypeScript code alongside your .NET applications. You may easily interact with common JavaScript build tools such as WebPack, Rollup, Parcel, esbuild, and others.

You can quickly get started using ASP.NET Core with Angular, React, and Vue using the provide Visual Studio templates.

These templates are available for both JavaScript and TypeScript, and the client app is generated using the most recent frontend JavaScript CLI tooling, ensuring that you always have the most recent version.

Debugging improvements

.NET’s sophisticated debugger is essential for developing any .NET app, including ASP.NET. In .NET 8, developers have improved the debugging visualization experience for commonly used types in ASP.NET Core apps, ensuring that the debugger displays the most critical information right immediately.

Check out all of the new ASP.NET debugging features in this Debugging Enhancements in .NET 8 blog post.

Wrapping Up

In conclusion, the advancements and new features introduced in ASP.NET Core in .NET 8 represent a significant leap forward in the realm of web development. The integration of Blazor provides a comprehensive solution for both front-end and back-end development, empowering developers to create stunning and highly interactive web experiences. .NET 8 is currently available. Upgrade your ASP.NET Core projects now!

In the ever-evolving landscape of web development, the debugging experience holds a paramount position for developers utilizing the .NET framework. With the advent of .NET 8, our commitment to refining and enhancing the debugging capabilities of frequently used types in .NET applications has taken center stage. This article provides a detailed exploration of the improvements made across crucial components, ushering in a new era of debugging proficiency.

A Closer Look at Debugging Enhancements

Improved Handling of HttpContext and Friends

For developers immersed in ASP.NET Core web app development, HttpContext, HttpRequest, and HttpResponse play pivotal roles. Viewing request and response values, such as headers, cookies, query strings, and form data, is considerably simpler. HttpRequest and HttpResponse now provide a user-friendly overview of the type. Essential information, such as the HTTP request URL or HTTP response status code, is immediately visible. This ensures a more intuitive debugging experience, allowing developers to effortlessly inspect headers, cookies, query strings, and form data. Notably, HttpRequest and HttpResponse now present concise and user-friendly summaries, displaying vital information such as the HTTP request URL and response status code.

.NET 7:

.NET 8:

WebApplication: Elevating Configuration Visibility

WebApplication, serving as the default configuration method for ASP.NET Core apps in Program.cs, has undergone significant updates in .NET 8. This includes the display of crucial information such as configured endpoints, middleware, and IConfiguration values directly within your IDE’s debugger. Similar refinements have been extended to the .NET Generic Host, enriching the debugging experience for apps without HTTP endpoints.

.NET 7:

.NET 8:

MVC and Razor Pages: Streamlined Debugging for Frameworks

The widely embraced ASP.NET Core MVC and Razor Pages frameworks have not been left untouched. In .NET 8, controllers, views, and Razor Pages have received targeted debugging enhancements. The focus has been on decluttering types and optimizing them for improved usability, resulting in a cleaner and more efficient debugging experience.

.NET 7:

.NET 8:

gRPC: Simplifying Client-Side Debugging

For developers leveraging gRPC, a high-performance RPC service library, .NET 8 brings simplifications to debugging client-side calls. The latest version of gRPC now includes comprehensive information about method, status, response headers, and trailers. Developers can benefit from a more insightful debugging experience, particularly when dealing with unary calls.

grpc-dotnet 2.55.0:

grpc-dotnet 2.56.0:

Endpoint Metadata: Enhancing Understanding of Endpoints

Endpoints are at the core of ASP.NET Core, representing executable request-handling code. Debugging Endpoint.Metadata has been enhanced in .NET 8, with the addition of debug text to common metadata. This improvement makes it easier to comprehend configured metadata and understand how requests are matched to endpoints.

.NET 7:

.NET 8:

Logging: Transforming ILogger for Debugging

Logging, powered by Microsoft.Extensions.Logging, is a cornerstone for .NET apps. In .NET 8, ILogger instances have undergone a transformation to be more debug-friendly. Displaying a user-friendly list of information, including name, log level, enablement status, and configured logging providers, ILogger now provides a more accessible debugging experience.

.NET 7:

.NET 8:

Configuration: Simplifying Configuration Understanding

Understanding an app’s configuration values has historically been challenging. In .NET 8, debugging Microsoft.Extensions.Configuration now presents a straightforward list of all configuration keys and values. With precedence already calculated, developers can easily grasp the configuration values that the app will use.

.NET 7:

.NET 8:

And More Across-the-Board Improvements

While the aforementioned improvements highlight key areas, .NET 8 brings a plethora of debugging enhancements across various components. From Dependency Injection to ClaimsPrincipal and ClaimsIdentity, StringValues and StringSegment, HostString, PathString, QueryString, FragmentString, HTTP header collections, to ASP.NET Core MVC’s ModelState, these improvements collectively contribute to a more refined debugging experience.

A Deeper Dive into Key Components

Dependency Injection

Dependency Injection (DI) plays a crucial role in modern software development, promoting code maintainability and scalability. In .NET 8, debugging enhancements have been introduced to streamline the visualization of DI, ensuring a clearer understanding of dependencies and their resolutions during debugging sessions.

ClaimsPrincipal and ClaimsIdentity

Authentication and authorization are fundamental aspects of web applications, and ClaimsPrincipal and ClaimsIdentity are central to managing user identities and access control. In .NET 8, debugging improvements in these components provide a more transparent view of claims, facilitating a smoother debugging experience for identity-related issues.

StringValues and StringSegment

Handling strings efficiently is paramount in any application. In .NET 8, improvements to StringValues and StringSegment aim to simplify string-related debugging challenges. Developers can now expect a more intuitive representation of string values during debugging, aiding in quicker issue identification and resolution.

HostString, PathString, QueryString, and FragmentString

In web development, understanding and manipulating URL components is crucial. .NET 8 introduces debugging enhancements to HostString, PathString, QueryString, and FragmentString, offering a clearer representation of URL-related data during debugging sessions. This facilitates a more straightforward identification of issues related to URL handling in applications.

HTTP Header Collections

HTTP headers play a vital role in web communication, and debugging issues related to header handling is common. In .NET 8, debugging improvements to HTTP header collections provide developers with enhanced visibility into requests, allowing for a more precise diagnosis of problems associated with headers during debugging sessions.

RouteValueDictionary

Routing is a critical component in web applications, and RouteValueDictionary is instrumental in handling route-related data. .NET 8 introduces debugging enhancements to RouteValueDictionary, offering augmented visibility into routing data during debugging. This facilitates a more insightful debugging experience when dealing with route-related issues.

ASP.NET Core MVC’s ModelState

In the world of ASP.NET Core MVC, ModelState is essential for handling and validating data models. Debugging ModelState has been streamlined in .NET 8, providing developers with a more organized and comprehensive view of model state information during debugging sessions. This ensures a more efficient debugging process when addressing model state-related issues.

Try It Now

Excited to experience these debugging enhancements in action? They are available in .NET 8 RC1, ready for exploration and feedback. To embark on this journey:

1. Download the latest .NET 8 release.

2. Launch Visual Studio 2022 or your preferred IDE.

3. Create an ASP.NET Core or Worker Service app.

4. Set breakpoints and run the app with debugging (F5).

Since Microsoft released the second and final release candidates for the framework and its related NET MAUI, ASP.NET Core, and EF8 versions,.NET 8 and all of its components are now one month away from become generally available.

They will be released between November 14 and 16 in conjunction with the business’s .NET Conf 2023 conference.

The dev team concentrated mostly on bringing things into final form for GA by polishing functionality and correcting bugs rather than introducing significant new features, thus the code is essentially set at this point.

The RC2s for Microsoft’s developer tools solutions are defined in the following manner.

.NET MAUI

Microsoft refers to this framework as the “Xamarin.Forms” progression since it allows developers to construct desktop apps in addition to typical iOS and Android mobile targets. It has had development issues, and Microsoft-centric developers are keeping a careful eye on it in light of the recent announcement that Microsoft was cancelling Visual Studio for Mac, which has its own major development issues.

Microsoft said “Today, we take one step closer to .NET 8 general availability (GA) by shipping .NET MAUI in .NET 8 release candidate 2 (RC2),”. “As with RC1, this release is covered by a go-live license so you can receive support when using it in your production applications. In this release we have focused on issues that regressed throughout the previews, and regaining some performance that was lost as we improved the reliability of hot reload, visual state manager, bindings, and app themes.”

• .NET MAUI has a go-live license and no breaking API changes from .NET 7.
• The team addressed a number of bugs with UI components and controls in order to increase uniformity and visual correctness across platforms.
• For a uniform user experience across platforms, platform-specific updates addressing drag-and-drop functionality, tab bar look, and certain platform behaviors were implemented.
• Several optimizations were made to boost performance of of ActivityExtensions.GetWindowFrame on Android, and “Setter Specificity.”
• Microsoft released.NET 7 service release 8 (version 7.0.96) with high-priority updates.
• With Visual Studio 17.8 Preview 3 or the most recent stable version of Visual Studio for Mac, Xamarin developers may use Xcode 15 and Android API 34.

The.NET MAUI release notes include further information.

.NET 8

“.NET 8 RC2 is now available,” Microsoft said on October 10. “This is the final release candidate. New NuGet package READMEs for.NET packages, easy CLI-based project assessment for MSBuild, publishing containers to tar.gz files, and Tensor Primitives for.NET are included in this version.

The following are some of the announcement post’s highlights:

• NuGet package READMEs for.NET packages are provided to offer users with critical information and to assist them in rapidly understanding what a library is and what it does. This is part of the dev team’s ongoing efforts to improve the uptake and quality of NuGet package READMEs.
• MSBuild now has a new, easy CLI-based project assessment feature that makes it simpler to incorporate MSBuild data into scripts or tools by utilizing the –getProperty, –getItem, and –getTargetResult parameters to assist project analysis.
• The SDK Container Publish tools now includes the ability to immediately construct a container as a tar.gz archive, which can be beneficial for processes that involve scanning or transferring the image before sending it, hence broadening potential deployment possibilities.
• Tensor Primitives for.NET are now available, boosting support for machine learning and data science activities. Tensor Primitives is a new collection of APIs that add support for tensor operations, which are critical in AI and machine learning applications. It includes vectorized versions of operations such as cosine similarity, dot product, matrix multiplication, and others.

The.NET 8 RC2 release notes also provide information on important fixes and much more.

ASP.NET Core

According to the announcement article regarding ASP.NET Core enhancements in.NET 8 RC 2, much of the dev team’s efforts in this cycle were spent to Blazor, Microsoft’s scheme for doing web development largely using C# rather than the traditional mainstay, JavaScript. The post said 11 things for Blazor, when every other component has just one item, with the exception of Servers & Middleware, which has two. Microsoft included an essential new notion for Blazor in .NET 8, the ability to deliver a full-stack Web UI.

The following are some of the announcement post’s highlights:

• New features in HTTP logging middleware include duration logging, merged logs, and configurable interceptors.
• Version 7x of the IdentityModel library has been released, which increases efficiency, consistency, and Native AOT compatibility.
• Blazor now supports types with IFormFile attributes and form binding for simple APIs.
• The SignalR TypeScript client now supports stateful reconnect, reducing downtime for clients experiencing brief network difficulties.
• The Blazor Web App template now has additional options for enabling interactive render mode globally or per page, as well as using the Blazor identity UI.
• The Blazor WebAssembly Standalone App template has been renamed and changed to allow static site hosting in the absence of an ASP.NET Core server.
• Blazor’s form model binding now respects data contract characteristics for customizing how form data is tied to the model.
• HttpContext may now be accessed from a static server component as a cascade parameter.
• In a Blazor Web App, the PersistentComponentState service can now be used to save and access component state.
• Using the [Inject] Attribute now enables injecting keyed services using the InjectAttribute.Key property.

Wrapping Up

The introduction of.NET 8 RC2 marks an important step toward the eventual release of.NET 8 in November 2023. This release contains updated NuGet package READMEs, easy CLI-based project assessment for MSBuild, publishing containers to tar.gz files, and Tensor Primitives for.NET.

Overall, .NET 8 RC2 is a strong release with a slew of important additions and enhancements. I strongly advise all .NET developers to download and test this release candidate.

As the demands for robust and efficient server applications continue to grow, choosing the right platform for development has become increasingly crucial. In this article, we will compare .NET and .NET Framework, highlighting their differences, benefits, and considerations for choosing the right option. By the end of this guide, you will have a better understanding of which option best suits your server app development needs.

Let’s dive in and explore the world of .NET and .NET Framework for server apps!

What is .NET?

.NET is a free, open-source framework developed by Microsoft that allows developers to create applications for the Windows operating system. .NET can be used to create a wide range of applications, from small console programs to large-scale web applications.

One of the main benefits of using .NET is that it is platform-independent, meaning it can be used to create applications that run on different operating systems, such as Windows, Linux, and macOS. The framework also includes a large set of libraries and tools that can help developers build robust and efficient applications quickly and easily.

What is .NET Framework?

.NET Framework is a software framework developed by Microsoft that is widely used for building and running Windows-based applications. It is an integral part of the .NET platform and provides a runtime environment and a set of libraries and components that developers can use to create applications.

The main goals of .NET Framework are to provide a consistent programming model for building applications, to enable code reuse and compatibility across different versions of Windows, and to provide a secure and reliable runtime environment for executing code. Developers can use .NET Framework to build a wide range of applications, including desktop applications, web applications, and server-side applications. Its extensive library support makes it easy to leverage existing code and functionality, while its performance and security features make it a popular choice for mission-critical applications.

Key Differences Between .NET and .NET Framework

While .NET and .NET Framework share similarities, there are some distinct differences that can affect your decision for server app development.

Criteria	.NET	.NET Framework
Versions	Newer, cross-platform versions (such as .NET Core)	Windows-only, older versions
Compatibility	May require updates to work with some older Windows systems	Backwards compatible with older Windows systems
Functionality	Lighter weight and faster, but may require additional libraries for certain features	Comprehensive libraries and components for a wide range of features

The choice between .NET and .NET Framework largely depends on your specific project requirements and infrastructure. If you prioritize speed and agility, .NET may be the better choice. If you need a more comprehensive set of features and backward compatibility with older systems, .NET Framework may be the better choice.

Benefits of Using .NET for Server Apps

When it comes to server app development, using .NET can provide a range of benefits for developers and organizations. Here are some of the reasons why:

Performance: .NET is designed to be fast and efficient, making it a suitable choice for high-performance server apps.

Scalability: .NET enables developers to build scalable server apps that can handle large volumes of traffic and users.

Security: .NET includes various security features and built-in protections to help safeguard server apps from potential threats and attacks.

Developer Productivity: .NET provides an extensive set of tools, frameworks, and libraries that can help developers work more efficiently and streamline development processes.

Overall, using .NET can help developers build robust and reliable server apps that meet the needs of their organizations and users.

Advantages of Using .NET Framework for Server Apps

While .NET offers a range of benefits for server app development, there are also several advantages to utilizing .NET Framework. Here are some key benefits to consider:

Extensive Library Support: .NET Framework includes a vast array of pre-built libraries and components, making it easier for developers to build complex server apps without having to write all the code from scratch.

Backwards Compatibility: One of the major advantages of .NET Framework is its ability to run older .NET applications without needing to make any significant changes. This makes it a great choice for enterprises with existing server infrastructures that rely on legacy software.

Mature Ecosystem: Since .NET Framework has been around for over a decade, there is a large community of developers and resources available. This can be particularly helpful for troubleshooting issues, finding libraries, and sharing knowledge with others.

In addition to these benefits, .NET Framework also offers good performance and security capabilities. It is optimized for running on Windows servers and integrates well with other Microsoft technologies, such as Visual Studio and SQL Server.

Considerations for Choosing the Right Option

Choosing between .NET and .NET Framework for server app development can depend on several factors, including your project requirements, existing infrastructure, and future scalability needs. Here are some considerations to keep in mind:

Consideration	.NET	.NET Framework
Compatibility	Works across multiple platforms, including Windows, Linux, and macOS.	Primarily designed for Windows-based environments.
Functionality	Provides a lightweight and modular framework for building web, cloud, and mobile apps.	Offers a comprehensive library of pre-built components and tools for building desktop and server apps.
Community Support	Has a large and active open-source community with regular updates and contributions.	Has a mature ecosystem with established support channels and documentation.
Development Skills	Requires knowledge of C#, ASP.NET, and modern web development concepts.	Requires expertise in Windows-based technologies like .NET Framework, Visual Studio, and WinForms.

Ultimately, the choice between .NET and .NET Framework will depend on your specific needs and goals. If you are building a web or mobile app that needs to run on multiple platforms, .NET may be the best choice. On the other hand, if you are developing a Windows-based desktop app that requires a lot of pre-built components, .NET Framework could be the better option.

Wrapping Up

One thing I would like to add is that the choice between .NET and .NET Framework is not always a binary decision. In some cases, it may be possible to use both platforms together. For example, you could use .NET to build a web app that runs on Linux servers, while using .NET Framework to build a desktop app that runs on Windows machines. Ultimately, the best way to choose the right platform for your project is to carefully consider your specific needs and requirements.

By enabling systems to learn from data and make predictions or judgments without explicit programming, machine learning (ML) has transformed a number of sectors. Developers can embed machine learning models into their .NET applications using ML.NET, a Microsoft open-source machine learning framework. To make sure you have everything you need to begin your machine-learning adventure, we will walk you through the process of setting up a machine-learning environment with ML.NET in this post.

Installing Visual Studio

Installation of Visual Studio, a popular integrated development environment (IDE) for.NET developers, is the first step in starting our ML.NET adventure. A user-friendly interface and a variety of tools are provided by Visual Studio to make ML.NET development easier. How to install Visual Studio is as follows:

• Access the most recent version of Visual Studio that is compatible with your operating system by visiting the official Visual Studio website
• Run the downloaded installer and adhere to the prompts on the screen.
• You will be prompted to choose the workloads you wish to install during the installation process. Select the workload “.NET desktop development” to access the ML.NET development-specific components.
• Launch Visual Studio after the installation is finished to move on to the next action.

Setting Up ML.NET

After installing Visual Studio, let’s set up ML.NET:

• Start Visual Studio, then choose “Create a new project.”
• Run a search for “ML.NET” in the project template selection screen’s search field. Numerous ML.NET project templates are available, including “ML.NET Console App” and “ML.NET Model Builder.”
• Based on your needs, select the suitable project template. Choose the “ML.NET Console App” template, for instance, if you wish to create a console application.
• Click “Create” to start a new ML.NET project after entering the project’s name and location.

Installing ML.NET NuGet Packages

Installing the necessary NuGet packages is necessary in order to use ML.NET in your project. You can manage dependencies with ease using NuGet, a package management for.NET projects. Installing ML.NET NuGet packages is as follows:

• In the Solution Explorer, right-click the project and choose “Manage NuGet Packages.”
• Find “Microsoft.ML” in the NuGet Package Manager window and choose the most recent stable version.
• To include the package in your project, click “Install”.
• In addition, depending on your particular ML tasks or requirements, you might need to install other ML.NET-related packages. For instance, you can install the “Microsoft.ML.ImageAnalytics” package if you wish to work with image classification.
• You are prepared to begin researching and leveraging ML.NET in your project after the packages have been installed.

Exploring the ML.NET Documentation

The ML.NET Documentation is a thorough source that provides instructions and examples for using ML.NET successfully. It addresses a broad range of subjects, such as model training, model evaluation, and model deployment. To aid developers in comprehending and making use of ML.NET’s capabilities, the documentation offers step-by-step instructions, code samples, and descriptions of fundamental concepts. Advanced subjects like model explainability, hyperparameter tuning, and transfer learning are also covered in the documentation. It provides advice on how to manage various data kinds, including structured data, text data, and image data, as well as how to pick the best algorithms and models for particular jobs.

Here are some tips for maximizing the ML.NET documentation:

• Go to the official page of ML.NET documentation.
• Learn how to use the documentation’s navigation and structure.
• Start by reading the “Getting Started” section, which gives you an overview of ML.NET, explains its fundamental ideas, and walks you through creating your first ML.NET model.
• For more information on specific subjects like data loading, data preprocessing, model training, and model evaluation, consult the documentation.
• To learn more about ML.NET, make use of the code examples and sample projects offered in the documentation.
• For updates, best practices, and actual use cases, keep a watch on the community resources and the official ML.NET blog.

Accessing ML.NET Samples

It is advised to examine the ML.NET samples offered by the community to get a better knowledge of its capabilities and how to utilize it successfully:

• To access the ML.NET samples, go to the ML.NET GitHub repository
• A variety of ML.NET samples arranged in many categories, including classification, regression, clustering, and more, may be found on the repository page. Select the category you are interested in.
• You can find a selection of sample projects inside the category folder. Each project exemplifies a distinct machine-learning technique or circumstance. Select the sample that best suits your needs, or look through a variety of samples to learn about various ML.NET features.
• Using the available choices, clone or download the example repository to your local computer. Cloning the repository will make it simple for you to pull updates and contribute to the project if you are familiar with Git.
• Once you’ve downloaded the sample project to your computer, build and execute the project as directed. Setting up data sources, customizing parameters, or installing extra programs or dependencies can be required.

After the sample has been successfully executed, you can investigate the code and experiment with various parameters to better understand ML.NET and its potential.

You can learn how to use ML.NET in many areas, acquire practical insights into machine learning techniques, and use the community’s contributions to improve your own ML.NET projects by accessing ML.NET samples.

Wrapping Up

The first step in utilizing machine learning in your.NET apps is to set up a machine learning environment using ML.NET. You can prepare yourself for your ML.NET journey by installing Visual Studio, configuring ML.NET, perusing the documentation and samples, joining the community, and staying up to date with new releases. With the help of Microsoft’s vast support network and ML.NET’s user-friendly design, you can begin creating reliable machine-learning models and gaining insightful knowledge from your data. Happy coding!

In the field of software development, designing user interfaces (UIs) that are aesthetically pleasing and simple to use is essential for gaining and maintaining user engagement. Developers now have a potent framework at their disposal to create cross-platform applications with gorgeous UIs thanks to the introduction of .NET MAUI (Multi-platform App UI). In this post, we’ll examine the fundamentals of .NET MAUI UI development and learn how to make contemporary, responsive, and user-friendly user interfaces.

Understanding .NET MAUI

Microsoft’s cross-platform .NET MAUI (Multi-platform App UI) framework enables programmers to design native user interfaces (UI) for software that can run on various operating systems, including Windows, macOS, iOS, and Android. It is an evolution of Xamarin.Forms and is built on top of the .NET ecosystem.

With the unified development paradigm provided by .NET MAUI, developers can create a single codebase for their business logic and user interface (UI), which can then be distributed to several platforms. This method saves time and effort because there is no longer a need to build unique UI code for each platform.

The framework offers a collection of controls and layouts that are natively generated on each platform, giving the applications a native appearance and feel. Additionally, it provides access to local APIs and support for platform-specific customization, enabling developers to make the most of each platform’s features.

XAML for UI Design

For the purpose of developing user interfaces in .NET applications, especially those created with .NET MAUI, XAML (eXtensible Application Markup Language) is a declarative markup language. It offers a clear and accessible approach to describing the organization, appearance, and behavior of the UI elements. It is simpler for developers and designers to work together when they can separate the UI design from the application functionality using XAML. You can establish data bindings to link UI elements with the underlying data model, specify attributes and events, and describe the visual hierarchy of your UI using XAML.

With the help of the numerous controls, layouts, and style options supported by XAML, you can design engaging user interfaces. Additionally, it enables animations, resources, and templates, allowing you to design extremely adaptable user interfaces.

Responsive Layouts

Responsive layouts refer to the ability of an application’s user interface to adapt and adjust its appearance based on the available screen space and device orientation. In the context of .NET MAUI, responsive layouts play a crucial role in creating user interfaces that can seamlessly adapt to different screen sizes, resolutions, and aspect ratios across various devices.

To achieve responsive layouts in .NET MAUI, developers can leverage XAML’s layout containers such as StackLayout, Grid, and FlexLayout, along with various properties and techniques provided by the framework. These include setting appropriate constraints, using adaptive triggers, employing adaptive layouts, and leveraging platform-specific APIs to optimize the UI for each device type.

Styling and Theming

Styling and theming are essential aspects of UI design that allow developers to define the visual appearance of their applications. In .NET MAUI, developers can use XAML to apply styles and themes to their UI elements, ensuring a consistent and visually appealing user experience.

Styles in XAML allow developers to define a set of visual properties that can be applied to multiple UI elements. This promotes code reuse and simplifies the process of updating the appearance of UI elements throughout the application. Themes, on the other hand, provide a way to switch between different visual styles based on user preferences or application requirements.

By leveraging styles and themes effectively, developers can create visually appealing interfaces, maintain a consistent design language, and enhance the overall user experience.

Data Binding

Data binding is a powerful feature in .NET MAUI that allows developers to establish a connection between the data and the user interface elements. It enables automatic synchronization of data between the model or view model and the UI, reducing the need for manual updates and providing a more responsive and interactive user experience.

In .NET MAUI, developers can use XAML to define data bindings between UI elements and the underlying data sources. This can include binding UI controls to properties, collections, or commands in the code-behind or view model. By establishing these bindings, any changes in the data source are automatically reflected in the UI, and user interactions can update the underlying data seamlessly.

Data binding simplifies the development process by decoupling the UI from the data, making applications more flexible, maintainable, and scalable.

Performance Optimization

When creating cross-platform apps like those in .NET MAUI, performance optimization becomes a crucial component of application development. Here are some essential factors for performance optimization:

• Effective Data Binding: When it comes to regularly changing data, use data binding carefully and prevent frequent binding modifications. When applicable, take into account employing one-time or one-way data bindings.
• Asynchronous Programming: To keep the UI fluid and avoid blocking the main thread, use asynchronous programming techniques like async/await. When possible, move time-consuming tasks to background threads.
• Caching and Memory Management: Use caching techniques to lessen the need for repeated data retrieval and processing. To avoid memory leaks, appropriately dispose away unused resources.
• Use UI virtualization techniques for lists and grids to quickly render massive datasets by only loading elements that are visible.

Conclusion

With the help of .NET MAUI, developers can create beautiful cross-platform UIs with less time and effort and a single codebase. .NET MAUI gives you the tools to build stunning and useful user interfaces that provide a wonderful user experience on a variety of devices and operating systems thanks to its robust UI design capabilities, responsive layouts, styling and theming options, support for data binding, and integration with platform-specific features. Accept the potential of .NET MAUI for UI development and you’ll be able to produce outstanding applications that your users will love.

Microsoft offers ASP.NET MVC (Model-View-Controller), a potent framework for creating scalable and maintainable web applications. With its extensible architecture and separation of concerns, ASP.NET MVC provides developers with a structured method for building dynamic and reliable websites. The main ideas, elements, and advantages of ASP.NET MVC will be discussed in this article, along with an overview of its essential attributes and an explanation of how it makes it easier to create contemporary online applications.

Understanding the MVC Pattern

The Model-View-Controller (MVC) pattern is the ASP.NET MVC framework’s cornerstone. It is a software architectural design pattern that supports the separation of concerns between the data model (Model), user interface (View), and application logic (Controller). This division makes it simpler to maintain, test, and scale the code. The View takes care of the appearance and user interaction, the Model represents the application’s data and business logic, and the Controller controls the application’s flow.

The MVC pattern enables you to build applications with input logic, business logic, and user interface logic separated from one another while maintaining loose coupling between them. Each type of logic should be placed in the program according to the pattern. The view should contain the UI logic. The controller should contain the input logic. The model should contain the business logic. By allowing you to concentrate on only one part of the implementation at a time, this separation makes it easier for you to manage complexity when developing an application. You may, for instance, concentrate on the view without relying on the business logic.

In addition to controlling complexity, testing apps using the MVC pattern is simpler than doing so with an ASP.NET Web application that uses Web Forms. For instance, a single class is used in an ASP.NET Web application that uses Web Forms to display output and react to user input. It can be challenging to create automated tests for Web Forms-based ASP.NET applications since you need to instantiate the page class, all of its child controls, and other dependant classes in the application to test a single page. Writing tests that specifically target specific components of the application might be challenging because so many classes must be instantiated to execute the page.

Key Components of ASP.NET MVC

ASP.NET MVC is made up of several essential parts that cooperate to produce dynamic web applications:

• Models are a representation of the data in the application and set out the business logic for modifying and validating that data.
• Views: Views are in charge of the application’s presentation layer, creating HTML content to display data and gathering user input.
• Controllers: Controllers interact with models and views, choreograph the application’s flow, and take requests from users and handle them.
• Routing: ASP.NET MVC employs a routing engine that converts incoming URLs into a list of predetermined controller actions, resulting in a neat and reversible URL structure.
• Razor View Engine: The Razor view engine, which is ASP.NET MVC’s default template engine, provides a short syntax for creating HTML markup.
• Helpers: Utility classes known as helpers make routine activities like creating form controls, producing partial views, and navigating URLs easier.

Benefits of ASP.NET MVC

ASP.NET MVC provides the following advantages for creating web applications:

• Clear separation of concerns is provided by the MVC pattern, which makes it simpler to organize and maintain code by clearly separating data from presentation and application logic.
• Testability: ASP.NET MVC supports unit testing, which makes it easier to find and fix problems early in the development process because of its modular architecture and distinct separation of concerns.
• Extensibility: ASP.NET MVC has a high degree of extensibility, enabling programmers to provide additional functionality via filters, model binders, action outcomes, and other means.
• A robust URL- mapping element that enables you to create applications with understandable and searchable URLs. In addition to supporting URL naming patterns that are effective for search engine optimization (SEO) and representational state transfer (REST) addressing, URLs are not required to include file-name extensions.
• Rich Ecosystem: ASP.NET MVC is supported by a thriving and active community that offers a plethora of libraries, frameworks, and tools to boost productivity and speed up development.
• Integration with Other Technologies: ASP.NET MVC works in perfect harmony with other Microsoft products, such as ASP.NET Core for cross-platform development and ASP.NET Web API for creating RESTful services.

Conclusion

By providing a systematic and effective method for creating online applications, ASP.NET MVC enables programmers to write scalable and maintainable code. Developers can accomplish a separation of concerns, increased testability, and extensibility by adhering to the MVC paradigm and leveraging the essential ASP.NET MVC components. It may consequently be more challenging to develop tests for Web Forms-based ASP.NET applications than for MVC applications. A Web server is also necessary for tests in an ASP.NET application that uses Web Forms. It is feasible to test individual components independently of the rest of the framework because of the MVC framework’s decoupling of the components and extensive usage of interfaces. For developers looking to create robust and dynamic online applications, ASP.NET MVC continues to be a popular option thanks to its many advantages and integration options. The tools and flexibility you need to succeed in web development are provided by ASP.NET MVC, whether you are beginning a new project or migrating an old one.