Software development has always been an industry that changes rapidly and consistently because of new technologies. AI is cultivating another shift in software development processes by changing the capabilities of developers. While it is still early in the introduction of AI, we can already see some major changes in how companies develop new software. Let’s take a deeper look at the three biggest changes to software development caused by AI.
Automation is Making Quality Control and Testing Much Faster
Automation is revolutionizing the way software development and quality control are handled. Artificial intelligence (AI) is being used to automate many of the processes involved in software testing, making it much faster and more reliable. Automated testing can identify bugs much earlier in the development process, helping to reduce costly delays later on.
Automation also enables developers to quickly track changes and evaluate performance over time, allowing them to make sure their code is up to date and running smoothly.
Quality control teams can now quickly spot issues that would have gone unnoticed before, leading to better overall product quality. All in all, automation is making software development and quality control much faster and more efficient than ever before.
For companies, this means a major increase in productivity and profitability due to shortened project lifecycles. This is where AI is expected to have the greatest impact on software development. As companies find ways of using AI to make production more efficient, developers can exercise more control over what they work on, when, and how. It gives them more flexibility, which is needed to make sure projects stay on time and on budget.
Automation Makes It Easier to Focus on What is Most Important
Automation has made it easier for developers to focus on what is most important. The software development process is filled with repetitive tasks and processes that produce results but also take a lot of time and resources to manage.
Development teams often benefit from finding ways to delegate these tasks to other workgroups so that they can focus on development-specific tasks. AI is giving them a better option for getting the dedicated help that they need without creating workgroups solely focused on mundane and repetitive tasks.
With the help of automation, developers can spend more time on specialized tasks that require higher levels of expertise. This allows them to create higher-quality products in a shorter amount of time, which has long been the goal of management teams trying to optimize the development process.
Automation also helps streamline processes and make them more efficient, which can lead to improved customer satisfaction and reduced costs. Many of the tasks that focus on customers and external stakeholders are often the tasks that take away the most time from developers getting their primary responsibilities done. Something as simple as sending emails to keep stakeholders up to date on the development process can take a lot of time away from development.
Fortunately, AI automation tools make it much easier to automate these processes and complete them in a fraction of the time so that developers have fewer responsibilities away from getting the project done. By freeing up resources, automation enables developers to focus on the most important aspects of their work and deliver better results.
AI Can Help Generate Reusable Code and Reduce Overall Project Time
Artificial Intelligence (AI) is revolutionizing the way software developers create and maintain code. AI can help generate reusable, modular code that is easy to edit and refine. This technology can drastically reduce the time needed for a project by automating the tedious tasks of writing, debugging, and refactoring code.
By using AI to automate these processes, developers are able to focus on more complex problems and develop innovative solutions faster. AI-generated code is also more reliable than hand-coded programs as it eliminates the possibility of human errors.
While the code created by AI is improving, developers are still needed to address specific issues. For example, reusing generic code that AI develops can mean that security issues become more common to any project that uses that code. Developers should adjust the code for each specific project, as well as find ways of identifying and addressing security issues, among other problems.
It also comes down to a quality issue. The code that AI generates is relatively generic, which means it isn't suitable for reuse on every project. Developers have to refine that code for its uses to make sure that it delivers the level of quality and specialized functionality needed for each project.
Let AI Change How You Build Software
Software development is changing, and that’s a great thing for companies needing new software options. Be one of the early adopters of AI in software development to build an unshakeable advantage over your competition. At KitelyTech, we explore the limits of AI so that we can help companies just like yours develop the best new technologies. Call us at (800) 274-2908 to begin building an advantage over your competitors.
