8 Trends in .NET Development in 2023

There’s so much opportunity for .NET developers in 2023 when it comes to growth and innovation. With that said, as user demands grow, so too does the pressure to enhance .NET applications. Of course, we’re seeing Microsoft consistently innovate the framework to empower .NET developers. However, gaps in updates can be big setbacks for companies and stakeholders, leading to a chain of functional setbacks and unmet expectations. To avoid this, grasping the latest .NET trends is crucial. 

Commonly, the gaps disrupt 5 key areas; performance, compatibility, documentation, security, and third-party dependencies. These missing pieces can expose security vulnerabilities in applications. Given the prevalence of cyber attacks, this is typically enough for companies to reevaluate their applications. 

How Relevant is .NET in 2023?

The Stack Overflow Developer Survey from last year unveiled that ASP.NET Core & ASP.NET are the favoured web frameworks. 

With that said, here’s a look at some of the hottest trends in .NET development right now that are shaping the way developers enhance applications to mitigate these risks:

1) ML.NET

Machine learning has taken center stage, and Microsoft's ML.NET framework is at the forefront of this transformation. By integrating machine learning in the .NET ecosystem, developers can infuse their applications with AI-driven insights and access pre-built models that span across applications, everything from natural language processing to image recognition.

Additionally, ML.NET is open-source, which means the framework is continuously evolving and benefitting from the collective expertise of the development community. The last thing that should be noted is just how user-friendly this platform is for developers of all skill levels. That aspect comes from its graphical user interface (GUI) called Model Builder, which is a tool that integrates into Visual Studio. The GUI allows developers to build, train, and ship custom machine learning models in their .NET applications.

2) Cloud-native Development

Leveraging cloud computing in app development is an approach born out of the reliance, we could even say “attractiveness”, of cloud computing environments. Creating and managing applications in this environment is a developer's paradise. It’s scalable, it’s flexible, and it provides resources on demand.

Cloud-native development breaks applications down into microservices that scale on their own which in turn makes the application more adaptable and responsive to user demand. 

3) .NET MAUI for Native Apps

Creating native applications for different platforms is very intense as every developer knows. .NET MAUI lets you create native mobile and desktop apps with C# and XAML. It’s beating out Xamarin. Forms and is meant to build apps that run on Android, iOS, macOS, and Windows from a single shared codebase.

MAUI uses .NET 6 as a foundation, offering a consistent runtime and framework for crafting applications from a range of platforms. This integration utilizes contemporary capabilities like hot reload, which enables real-time code adjustments without necessitating a complete app rebuild. MAUI lets developers create apps on either PCs or Macs and upon compilation, then turns them into native app packages. 

For instance, MAUI constructs Android apps using C#, which is subsequently converted into an intermediate language (IL), then just-in-time (JIT) compiled into a native assembly upon app launch.

4) ASP.NET Core

Originally introduced in 2016, ASP.NET Core is a far more advanced version of .NET where developers can build websites and web applications using HTML, CSS, and JavaScript. It stands as an open-source framework tailored for crafting cloud-based applications. This framework is a reimagined edition of ASP.NET, and it features architectural enhancements to build a modular structure.

Unlike ASP.NET, the Core version has cross-platform adaptability and the development process is a lot more streamlined. Its framework integrates MVC and Web API, alongside the inclusion of Razor Pages for simplified creation of page-centric applications. Additionally, it offers a lightweight and efficient HTTP request pipeline and is compatible with hosting on Windows, macOS, and Linux.

5) Blazor

Microsoft created Blazor as a means to build web apps using .NET and C#. The idea is that developers can write client-side web UI experiences using HTML, CSS, and C# instead of relying heavily on JavaScript.

Blazor presents two methods of hosting: Blazor WebAssembly and Blazor Server.

Blazor WebAssembly: In this approach, the entire application operates within the user's browser. The application is fetched as a WebAssembly binary and executed within the confines of the browser. This facilitates a dynamic user interface, akin to conventional single-page applications built using JavaScript.

Blazor Server: In this alternative, the application's visual elements are generated on the server side and then conveyed to the client through a live connection. User interactions are managed by the client-side code, which then relays them back to the server for processing. This model does streamline the client-side experience which makes it ideal for scenarios demanding real-time updates or when client-side resources are more limited.

6) Xamarin for Mobile Development

Xamarin is a cross-platform mobile development framework that developers can use to build native iOS, Windows, and Android apps using C#. It uses a single codebase for building apps across multiple platforms, which can save time and resources. This trend is you’ll see continue to grow as more businesses look to build mobile apps for multiple platforms.

7) Movement Towards Open-Source

What you’ll find with most tools nowadays is that they’re open-source models, which are primarily driven by Microsoft's efforts and the desire for flexibility and community-driven improvement. Also, many businesses are using open-source software internally and contributing to open-source projects which has been a big driver in the adoption of open-source in .NET development. 

8) .NET in IoT

Given the proliferation of IoT networks for security and automation in various enterprises, the demand for compatible applications has surged. In response, .NET enables the construction of applications specifically for IoT devices and sensors. It also provides a specialized framework, known as the Nano framework, created for crafting applications for embedded devices.

The libraries .NET offers are good for interactions between applications and a range of IoT input devices, sensors, System-On-Chip components, RFID elements, GPIO, I2C, and port interfaces.

Moving Forward as a .NET Developer

C# and .NET programmers are highly sought after by both startups and major tech corporations. For large-scale applications, these technologies are very commonly used which makes being proficient in them a superpower for developers in 2023.

Written By Ben Brown

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ISU Corp is an award-winning software development company, with over 17 years of experience in multiple industries, providing cost-effective custom software development, technology management, and IT outsourcing.

Our unique owners’ mindset reduces development costs and fast-tracks timelines. We help craft the specifications of your project based on your company's needs, to produce the best ROI. Find out why startups, all the way to Fortune 500 companies like General Electric, Heinz, and many others have trusted us with their projects. Contact us here.

4 Ways to Optimize Your Business Using AI

At this moment, companies might have at least 6 months to get their act together before AI comes back with some hard changes for their industry. 

I want you to imagine your business right now, whether you’re the owner, an employee, or any sort of stakeholder. If you’ve been around for longer than 10 years, there’s a big chance you’ve had several major disruptions in your industry that you were forced to overcome.

Now, we stand at the cusp of yet another disruption that will completely transform not only the way your business operates, but the world itself. If you think that’s an overstatement, stop and think; how much does your company currently spend on employee salaries per month? I want you to think about that number and then look around at some AI service providers and see how much you could implement with that sum. 

It’s a harsh vision, especially to think that jobs people have done for decades could be taken over by AI. However, this article isn’t meant to instill fear about job security, we simply believe that by understanding the transformative potential of AI and its specific features, companies can make informed decisions to stay well ahead of the curve and remain competitive. With that said, here are 4 ways businesses can optimize their operations to adjust to today’s demands:

1. Managing The Supply Chain

Predictive analytics are miraculous in their range of abilities. Most notable is supply chain management, where the AI system can easily identify fluctuations in demand well in advance. This enables proactive planning and minimizes the carrying costs of inventory. 

What AI algorithms can do here specifically is analyze historical data, market trends, weather patterns, and social media sentiment to predict future demand with unbelievable accuracy. This is a big advancement whether your company actually produces material goods or offers a specific service.

For service-oriented businesses, effectively managing operational costs while meeting customer needs is the name of the game. The reason I bring this up is because predictive analytics are often exclusively discussed regarding their ability to serve companies heavy on manufacturing demands. But that goes against the whole basis of AI pertaining to its ability to manage data in just about any industry, so we’ll lay it out clearly.

For service providers, AI algorithms can forecast service demand which then allows companies to allocate their staff and resources more effectively. There’s always been that phrase business owners use: “Well I can’t predict the future, but…”. Now there’s no need for this, as AI algorithms can make accurate predictions.

2. The Core 4

Every business strategizing with AI is checking off one of the following boxes: efficiency, effectiveness, expertise, or innovation. According to a report from developer Jacob Bergdahl, each strategy is broken down in terms of the company’s data and will look something like this:

The efficiency strategy: Low data > Low work complexity

The effectiveness strategy: High data > Low work complexity

The expert strategy: Low data > High work complexity

The innovation strategy: High data > High work complexity

When strategizing with AI, first identify where your needs fall on this scale. If you don’t, you’ll end up with a solution that doesn’t meet your needs and isn’t sustainable. 

3. The Volume and Complexity of Data

Branching off the previous point, as markets continue to shift online, the amount of data businesses accumulate increases exponentially. With that being said, the number one reason businesses can survive this kind of change is through their ability and willingness to pivot. 

As a means to do so, the digital landscape has opened up new avenues for collecting as well as generating vast amounts of data from various sources such as user interactions, transactions, social media, etc. What’s important to know is that this rise in data gives businesses just as many opportunities as it does challenges.

On the one hand, the abundance of data gives businesses valuable insights into customer behaviour, market trends, and how their performance stacks up. It enables companies to make “data-driven decisions”, which are based on initiatives such as personalizing customer experiences, optimizing processes, and of course, identifying new growth opportunities. 

However, the sheer volume and complexity of this data can quickly become overwhelming without the right strategies and technologies in place. To mitigate this risk, businesses must integrate data management tools that can streamline data workflows. Here’s how this can happen:

Data Storage and Infrastructure: Cloud-based storage solutions, data lakes, and distributed databases all contribute to building a scalable and secure data storage infrastructure. By investing in the components needed for this infrastructure, companies will be a lot more flexible. 

Data Integration and Consolidation: Businesses often encounter data silos, where valuable information is scattered across different systems and departments. What implementing data integration strategies and tools can do is help consolidate and unify all of that data, which will give you an overall holistic view of your organization's operations and customer interactions.

Data-driven Decision-Making: This is a hot-button topic right now and for good reason. Encouraging a data-driven culture within an organization is vital to align the team with the vision behind change and ultimately where the industry is headed. Training employees on data literacy, promoting data-driven decision-making processes, and fostering a mindset that values data-driven insights will empower people to get behind these processes and leverage their capabilities.

4. Security

Cyber extortion and ransomware attacks have been on a huge upswing in 2023. In March, Ferrari, Skylink, and Alliance Healthcare were a few entities that faced serious issues with breaches. The threat of ransomware and malware becomes more significant as the volume of data that businesses work with increases.

For this reason and several others, artificial intelligence is a must for enterprise businesses. Here’s how it makes a difference:

Recognize Threats Early

An AI-powered security system is a digital detective that’s never off the clock. It will analyze data from your network traffic, log files, and user behaviour, to detect anomalies and potential indicators of cyber attacks. The machine learning algorithms embedded in these systems can identify irregularities that signal ransomware and malware, which will give you a response to early threat detection.

Respond to Threats Early and Automatically

When a security breach is detected, AI systems can trigger immediate responses, which might include isolating affected systems, blocking malicious connections, or initiating backup and recovery procedures. 

The difference between your business using an AI system and your competitor who’s too slow to strategize comes down to one thing: vulnerability. Your competitor is going to be highly susceptible to cyber threats and attacks without this threat detection and response system, while you'll have a robust defence in place.

Fixing Weak Spots

AI can help you find and prioritize vulnerabilities in your IT setup. It looks at things like system configurations, software versions, and patches to identify any weak points that ransomware and malware could exploit.

What to Know Going Forward

It’s a lot right? This information is as general as it gets when looking at the things companies need to do with AI because there’s so much subjectivity with IT. The best thing you can do as a business starting your journey with AI is to research and evaluate reputable AI service providers that offer solutions aligned with your business needs. Have consultations and ask for demonstrations to understand how their AI tools can be integrated into your existing infrastructure. Consider factors such as scalability, ease of implementation, and ongoing support to ensure a smooth transition.

Written By Ben Brown

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ISU Corp is an award-winning software development company, with over 17 years of experience in multiple industries, providing cost-effective custom software development, technology management, and IT outsourcing.

Our unique owners’ mindset reduces development costs and fast-tracks timelines. We help craft the specifications of your project based on your company's needs, to produce the best ROI. Find out why startups, all the way to Fortune 500 companies like General Electric, Heinz, and many others have trusted us with their projects. Contact us here.

Digital Transformation in The New Age of Web Development & Design

The entire premise of web development and design is headed in a direction that’s going to allow everyone to get involved. This is due in part to what’s known as the no-code movement which is a much bigger topic than it’s gotten recognition for. This is essentially programming without needing to know how to program and being able to do so in a user-friendly way. 

For example: 

• Squarespace

• Shopify

• Zapier

• Mailchimp

These are all examples of no-code design platforms that allow users to break into the creative side of web development (using drag and drop), a skill they otherwise might not pick up. This trend suggests an entirely different future for anyone with expertise in design and/or coding. To better understand its significance, let’s go over what exactly it’s changing:

First of all, no-code does not replace the need for software developers, rather it frees them from time-consuming, repetitive, and less intuitive tasks. What this allows for is the team to focus on the overall look and feel of the platforms they create in addition to other complex tasks that go into web development. 

The other key benefit is that web developers and designers will be able to collaborate without the need for as much technical expertise. In addition, small businesses will have accessibility and control when it comes to maintaining their own websites.

Web Development Compared to Web Design

Web design is the front-end, interactive aspect of a website that visitors see. The best web designers use various tools such as Adobe Dreamweaver or Figma to create the most optimal user experience. Visual designers and UX designers create the following:

• Design systems 

• Mockups 

• Wireframes 

• Templates 

• Colour palettes

Once the designs are created, they are passed over to developers to begin development. 

Web development is the execution phase, using code to bring the website to life based on the guidelines created in the web design phase. When it comes to this phase, the actual process of coding is going to be subjective based on the needs of the website as well as the business. Commonly, some of the programming languages used for web development include: 

• JavaScript 

• CSS 

• Python 

• HTML

• Ruby on Rails

The Development Roles

Back-end developers concentrate on the site or applications infrastructure which includes security and hosting. The front-end developers are the ones who then handle the functionality of the platform. And lastly, the full-stack developers are involved in both ends. This process of software development and integration is fundamental not only to creating a solid platform but to sustaining it. 

The Reality of The No-Code Movement

The tools categorized as no-code platforms are great visual builders that are user-friendly and simple to navigate but still, code is being generated behind the scenes. So in short, these tools are great for users who want to give building websites and applications online a shot without having to write code but it is still a stepping stone. 

The no-code movement has a long way to go before it can say goodbye to programmers and even still, someone is at least going to need to upkeep the back end. However, these tools are still incredibly useful for everyone, especially software developers around 50% of which use these platforms. Lastly, these tools are not limited to just websites and applications. For instance:

• Airtable (database creation)

• Ada (create an AI chatbot)

• Zapier (multiple app connection)

• Voximplant (contact centres via the cloud)

There is so much variety that can really only enhance the amount of value software developers and software outsourcing companies have to offer businesses looking to undergo digital transformation. When it comes to scaling a business, some of the key benefits of no-code platforms are as follows:

• Launch speed: In the best interest of company time and resources, no-code platforms enable businesses to release their solutions very quickly. Also, since collaboration between designers and developers is a viable option, the process flow is much more smooth. 

• Flexibility: Businesses go through a lot of changes in their platforms that need to be able to happen quickly. Using these solutions, sales, HR, marketing, and other departments of an organization will have access to build and modify their tools. 

• Cost: Small to mid-sized businesses will love no-code platforms since they won’t have to put a massive budget into engineers when they’re just getting started. 

• Testing: Design concepts and trends can quickly be tested, and once results are uncovered, the team can configure the platform most optimally. 

Lastly

In every industry, processes, resources, workflows, and plenty of other important assets change. So if you think about that, the work we do today won’t look the same in the future. With that in mind, the obvious choice (if you intend to remain in your role) is to embrace the change and figure out how to use it to your advantage. 

Custom software development is at the pinnacle of these changes because, without effective software systems, businesses will have no ability to scale.

Written By Ben Brown

—

ISU Corp is an award-winning software development company, with over 17 years of experience in multiple industries, providing cost-effective custom software development, technology management, and IT outsourcing.

Our unique owners’ mindset reduces development costs and fast-tracks timelines. We help craft the specifications of your project based on your company's needs, to produce the best ROI. Find out why startups, all the way to fortune 500 companies like General Electric, Heinz, and many others have trusted us with their projects. Contact us here.