As we approach 2023, many experts are speculating about what the software development industry will look like in the future. We’ve compiled some of the most prominent predictions to give you a sense of what to expect from your software development team over the next few years.
DevSecOps is a collaboration between the development and security teams that aims to improve software development security. It’s a relatively new concept, but it’s becoming increasingly important in approaching software development.
DevSecOps can help your organization by reducing the time it takes to develop and release new applications. When developers work closely with their counterparts in product management and marketing, they learn about upcoming features earlier in the process, which allows them to start working on those features even before they’re written into product specs. This means that when development begins, there aren’t any wasted hours spent on things like planning meetings.
For example, a leading commercial bank recently hired JFrog to help them with their DevSecOps initiative. They had been trying to build a new security application but weren’t sure how best to go about it. Because JFrog was already familiar with their environment and had experience working on similar projects, they could get right down to work.
One thing worth mentioning here, though: If you’re looking at getting started yourself from scratch as an individual developer working alone who doesn’t know anyone else yet; this might not be something worth considering since there won’t be anybody else around you who needs help until later down these lines (maybe).
2. Intelligent Automation Testing
Automation testing is a type of software testing that uses software to execute test cases. It is a tool used by many companies to reduce the time spent on manual tests and increase the speed at which they can run. Automation testing has become increasingly popular over the past decade due to advances in artificial intelligence (AI), machine learning, and other technologies that have allowed for better testing automation tools and techniques.
Automation testing tools help you perform large-scale tests faster and more accurately than manually executing each test case. Equipping your team with the right automation testing tools can help you test faster and more efficiently and catch bugs that might otherwise go unnoticed.
3. Cloud-Native Development
Cloud-native development is a methodology that promotes using cloud computing technologies in software development. Cloud-native development allows developers to build applications using cloud computing, containerization, and other technologies. The idea behind cloud-native development is that using these technologies can develop a reliable and secure application faster.
Software developed using this methodology is generally referred to as “cloud-native.” It’s important to note that cloud-native software isn’t necessarily developed on a public or private (hybrid) cloud; it just means that the software was built with specific characteristics in mind:
- Software should be resilient against failure (e.g., automatic failover).
- The system must be easily scalable without manual intervention required by humans (i.e., auto-scaling).
- Logging information flows from endpoints back into an analytics engine for analysis purposes — this will be important for any DevOps activity, such as incident tracking/root cause analysis activities where logs are needed for further investigation.
- The system must run on multiple cloud providers (e.g., Azure, AWS) worldwide and multiple data center locations.
As we head closer toward a cloud-enabled future, we must ensure that our infrastructure can take advantage of this.
4. RPA-Driven Business Process Automation
RPA, or robotic process automation, is one of the most exciting trends in software development. It’s a technology that allows you to automate business processes—and it’s gaining momentum because it has several advantages over traditional software development.
RPA enables enterprises to focus on innovation and growth—instead of spending time on manual tasks like updating spreadsheets and form submissions, RPA can automate those tasks for you. It also gives businesses more agility than traditional application development projects do because they don’t need to wait until the project is complete before getting any value out of it (like when they’re testing an app).
In addition, RPA costs less than traditional systems integration efforts—it’s easier for vendors who offer RPA services since there’s no coding involved; instead, they just implement existing business processes through automation scripts using APIs from other applications (such as ERP systems). This makes their service quicker and cheaper compared with custom solutions built by internal developers or third-party consultancies.
5. Low-Code Development Platforms
Low-code development platforms are used to build applications faster. They allow you to build applications without writing code, making them useful for developers and non-developers. You can use them to build web, mobile, and IoT applications of all sizes.
Low-code development platforms are easy to use because they provide templates (e.g., forms) that contain prewritten logic that your users can customize as needed. This reduces the time it takes you to create an application from months or years down to weeks or days!
The world of software development is continuously evolving. This is why it’s important to keep up with the latest trends and technologies. You should also ensure that your development team has the right skills and experience to build scalable, secure applications that meet your users’ needs. We hope that you found this article helpful. If you have any questions or comments, please leave a comment below.
Thanks For Reading
More Read On Tech Bable