The advent of Artificial Intelligence (AI) has sped up designing, developing, and deploying software, making it faster, better, and more cost-effective. Instead of replacing programmers with robots, AI-powered tools are augmenting the productivity and efficiency of project managers, business analysts, software coders, and testers. This leads to the production of higher-quality software in a shorter time frame and at a reduced cost. AI is poised to become a critical element in meeting the surging demand for custom software.

Who saying this? 

Artificial intelligence is held up as a way to automate time-consuming business processes, but 49% of employees say they’ll still need more training to be able to use ChatGPT and other similar AI tools effectively, according to a survey conducted on March 7 by TalentLMS (TalentLMS, 2023). IT managers have reported that AI is having a significant impact on the software development and deployment process, according to a survey conducted by ZDNet (ZDNET, 2020). Around 61% of respondents indicated that AI is drastically changing software development, with 57% expecting similar effects on software deployment. Those who have already integrated AI into their operations were more likely to report a strong impact on both software development and deployment. Over the past two years, numerous large and small vendors have launched AI-powered software development tools. In the twelve-month period ending in September 2019, start-ups offering such tools raised US$704 million (WSJ, 2020). AI is opening up a multitude of possibilities for software development without displacing programmers.

AI has the potential to revolutionize the way software is developed, tested, and maintained, ultimately leading to better software that is faster, more efficient, and more reliable. Here are some of the ways A.I helping software become better - 

1. Testing

Automating testing and quality assurance is one of the ways AI can help make better software. AI algorithms can automatically test software applications, identify bugs, and suggest fixes. This can improve software quality and reduce the time and effort required for manual testing, freeing up developers to focus on other tasks.

2. Enhancing Software Development

AI can also enhance software development processes by automating tasks such as code generation, code review, and bug tracking. This can reduce the time and effort required to develop software and improve the overall quality of the software. For example, AI-powered code review tools can analyze code and suggest improvements, helping developers write better code more quickly.

3. Improved User Experience

Improving user experience is another way AI can help make better software. AI algorithms can analyze user behavior and preferences to improve the user experience of software applications. For example, AI can personalize the user interface based on individual user preferences, making it easier and more intuitive to use. This can lead to greater user satisfaction and increased adoption of the software.

4. Prediction and Prevention

Predicting and preventing system failures is yet another way AI can help make better software. AI algorithms can analyze system logs and data to predict and prevent system failures. This can help improve software reliability and reduce downtime, which can save businesses time and money.

5. Optimization

Finally, optimizing software performance is a keyway AI can help make better software. AI can be used to optimize software performance by analyzing code, identifying bottlenecks, and suggesting optimizations. This can improve the speed and efficiency of software applications, leading to a better user experience and increased productivity.

Bottom Line

AI has the potential to transform the way software is developed, tested, and maintained, leading to better software that is faster, more efficient, and more reliable. As AI technology continues to advance, it is likely that we will see even more ways in which AI can help make better software in the future. It is an exciting time to be a software developer, and the possibilities are endless.

"At the end of the day, it is on the hands of the developer to apply their thinking first and then use AI assisted tools to develop software. At the moment we are not sure how fast AI will be adopted, but the outcome seems positive.”

- Pavithra Selvaraj, Senior Developer, Propel