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App Development
6 minutes read

New Software Development Technologies to Keep an Eye on in 2023

By Jose Gomez
By Jose Gomez
App Development
6 minutes read

Keeping up with new software development technologies can seem like a tall task. After all, the software development industry is constantly innovating and looking for new ways to please users. In recent years, we have seen new technologies like Artificial Intelligence (AI) and software development trends like edge computing, the Internet of Things, and big data significantly impact app development.

What new technologies and software development trends does 2022 hold? Let’s look at the current state of software development and predict which new technologies will have the greatest impact in the coming year. This post will explore the software development technologies we think will be the most important in 2022 and the years ahead. 

Artificial Intelligence (AI) and Machine Learning 

Artificial Intelligence and Machine Learning are often discussed interchangeably, but in reality, Machine Learning is a subset of AI. While AI might seem like science fiction to many people, it is one of the fastest-growing software development trends. Moreover, AI and Machine Learning are no longer relegated to only HiTech applications. Modern software in several other industries, especially FinTech, has harnessed the immense computational and predictive power of Machine Learning and AI. 

The reality is almost every business, software, and mobile app can benefit from data science and Machine Learning. No, AI isn’t advanced to the degree you might read about in science fiction novels. Still, it is already helping businesses strategize, plan accurate budgets, review vast amounts of data, test systems, and more. 

The latest AI development that excites people is generative AI. Generative AI uses existing content such as audio, video, text, etc., to create new content. It has shown remarkable promise in pharmaceutical research, building marketing campaigns, and developing software. As generative AI improves, developers can spend less time on low-level tasks and more time focusing on high-value tasks and projects. 

Low-Code and No-Code Platforms 

Low-code and no-code app development tools allow users to quickly drag and drop pre-built blocks and features in a visual environment. Low-code tools promise to aid in rapid development and expand digital access to individuals with little to no technical knowledge. Businesses will want to consider how individuals outside the IT department can use low-code/no-code platforms to reduce the strain on their IT departments. Plus, developers pressed for time will want to see how they can use these platforms to promote rapid software development. 

The main concerns of mobile and web development projects built using low-code/no-code platforms are future scalability, security, and general flexibility. We wouldn’t recommend building your entire software development strategy around low-code platforms. These tools have a lot of weaknesses, but they are improving at a rapid pace. It could be helpful to experiment with these platforms so that you can take full advantage of them as they improve. 

Low-code tools will usher in a new era of tech accessibility to ordinary people and drive innovations in ways we can only imagine currently. 


If you have paid attention to the news, you have seen the devastation cyber attacks can have on businesses and governments. As a result, cyber security needs to be a priority from day one of software development. As a result, a new approach to software development has emerged, DevSecOps. DevSecOps is a new software development approach that embeds security at every phase of the traditional DevOps pipeline

Cyber threats are growing, and they are getting more costly every year. More companies are utilizing the power of big data, which is great for analytics, but it also means more data is being collected that could be potentially compromised. 

DevSecOps ensures that your project’s code is designed securely, not made secure after software development. The sooner your team can find security vulnerabilities in code, APIs, databases, etc., the sooner they can be addressed. Cyber security never evolves as fast as cyber threats, so it is important to prioritize security from day one. 

Cloud-Native Software Architecture

Cloud computing and cloud-based apps and services have already become popular with consumers and large enterprises. Cloud-native software architecture is the logical next step in the digital transformation of business processes. Cloud-native software is designed specifically to run within a distributed cloud-based environment. Major tech giants like Amazon, Microsoft, and Google are offering cloud services that are more affordable and capable than ever before. 

Cloud-based software is the future of software development. Cloud-native software can be scaled on-demand, and businesses don’t have to break the bank to access these services. In fact, businesses will only need to pay for the resources they use, which drives costs down. In addition, cloud-native software can be run in a private, public, or hybrid cloud infrastructure. 


Python is not a new programming language, but it has grown in popularity. Today, Python is one of the most popular, widely used programming languages worldwide. While Python can be used on a diverse range of software development tasks, Python is renowned for being the best language for Machine Learning, big data, and other computational heavy tasks

Beyond its wide range of capabilities, Python continues to grow in popularity because it is easy to learn, and there is a large community of developers and researchers worldwide that support the language. In terms of meeting the modern demands of software development, no programming language is better positioned than Python


One of the most exciting software development trends to take notice of is microservices. Microservices are a unique way to structure an application so that every feature and function is a separate component. With this structure, developers can scale specific features independently of one another. Plus, if one component fails, the rest of the application can continue functioning without any issues. 

Beyond performance, microservices make maintaining and managing software more manageable. In addition, developers can release parts of an application to the public while they continue to perfect other aspects of the software. Microservices increase development and deployment efficiency and enhance communication between components of an application. 

Final Thoughts 

There are several exciting software development trends to take notice of. In this post, we have covered a few of the trends and technologies that excite us the most. If your business needs help determining which new software development technologies are best suited for your company’s needs, reach out to our experts.

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