AI in Action: 5 Ways It’s Improving Software Development
Nearly every industry is being impacted by AI. And software development comes as no exception: from gathering project requirements through designing, building, deploying, and managing an application, every stage of the software development life cycle is undergoing changes. In order to deliver digital products at a high speed, compete with other companies, and create personalized customer experiences, it is vital for organizations to keep tabs on the increasing usage of AI technologies in the field of software development. Is it something that you are aiming for? Let us shed some light on some of the most effective methods to use AI/ML tools and technologies to promote innovation and create a competitive advantage.
AI Transforming the Software Development Industry
Modern enterprise AI solutions are transforming the software development industry — from code generation and testing to project management and quality assurance. Let’s dive deep into how AI is reshaping software development so that you get inspiration and start using AI tools to the max.
#1 — Getting Accurate Estimates
When a project is not delivered on time and within budget, it is unlikely that a client will be satisfied with your job and turn to you again. And it's not only about the customer and business income; failure to fulfill the customer expectations negatively impacts team performance in future projects. The good news is that project managers and software development teams can now make better informed decisions on project timelines and costs thanks to modern AI technologies. This leads to more accurate estimates, improved project planning, and a significant increase in customer satisfaction.
Teams can train AI/ML models on historical data linked to completed projects to make estimations that are closer to reality. The algorithms can create extremely accurate estimates for new projects by assessing data relating to team size, project durations, and work complexity.
#2 — Efficient Prototyping
Delays in delivering prototype solutions like an MVP (minimal viable product) cause clients to lose trust and interest in working with software development service providers. This can result in revenue reduction or major delays in project initiation and contract signing. Of course, creating a prototype for a customer may be difficult and time-consuming. However, it is not always the case.
This is where AI technologies, like ML and AI, may be quite useful. You can speed up the process of prototyping with the use of AI-enabled technologies. Artificial intelligence solutions can quickly and accurately translate the desired business functionalities into technical prototypes. So instead of spending days or weeks creating a prototype, devote a couple of hours of your time to get the very same result. Thus, you can shorten sales cycles, boost revenue, and improve customer happiness.
#3 — Speedy and Effective Code Writing
Writing neat and clear code requires practice and time. Software developers can create code at the pace of business using AI-powered code completion tools, allowing them to get products to market faster. Modern code-generation tools enable developers to generate code quicker and more effectively in a variety of contexts and languages — from VS Code, JetBrains and Ruby to Swift, PHP, and JavaScript. The majority of these artificial intelligence software tools are powerful because they have been trained with billions of lines of code that are freely available in the public domain.
#4 — Automated Testing
Testing is essential for developing and releasing software products that operate well in terms of functionality, performance, and security. However, manual testing is time-consuming, costly, and prone to human mistakes. All of these factors can have a negative impact on the pace and quality of software releases to the market, as well as the user experience. Fortunately, with AI, software testing teams can create more complete test cases and automate the QA processes.
#5 — Continuous Deployment Cycle
Thorough testing guarantees that only high-quality code is released in production. However, there are a number of difficulties that can only be noticed once the application has been deployed in the target environment. The good news is that software developers can foresee deployment errors using AI-powered technologies that analyze data from previous code releases and application logs. AI-powered assistants may learn from experience and spot typical bugs by accessing and evaluating historical data and software analytics. Early detection of these vulnerabilities in the development cycle can greatly mitigate the need for rollbacks.
Bring Software Development to a Whole New Level
By leveraging AI in software development, companies can boost productivity, enhance code quality, and streamline development processes, ultimately delivering better software products to users. As AI continues to advance, its role in software development is expected to grow, leading to other innovations in the industry. Embrace what the new technology has to offer!
