How AI Could Transform Software Development

The introduction of artificial intelligence has seen profound changes occur across different sectors, from entertainment and education to healthcare and business. Now many expect this advanced technology to transform how software is developed.

Already, code generation tools powered by AI are flooding the space and may potentially make conventional methodologies obsolete. As artificial intelligence learns to write code and create software with minimal investment of resources and time, it is important to explore how this tech could transform software development.

So, how will artificial intelligence break the software development life cycle?

1. Development of new teams

In the past, software engineers were tasked with actual coding. With the advent of AI though, software development teams are expected to include humans as well as AI agents, whose main role shall be generating code.

Engineers’ tasks could shift to offering input and verifying results generated by AI.

1. Increased speed

A standard unit of time in software development, which is two-week sprints, may soon be a thing of the past if the improvements in the software development lifecycle after AI’s introduction are anything to go by.

It is expected that as the development of software advances, more dynamic and shorter cycles may be adopted.

• Increased demand

Artificial intelligence is also expected to play a crucial role in helping to meet the significant growth in demand for software.

While the adoption of AI in software development is a plus, challenges are still inevitable. Below are some to consider.

1. Too much code

Never in the recorded history of humans have we ever dealt with as much code as is expected to be generated by artificial intelligence. Whether the code is generated solely by AI or by humans working with this tech is beside the point. The issue comes in when offering support and maintenance at an unprecedented scale.

Churning out code at incredibly fast speeds may also result in errors that may easily be missed at first glance. These errors will require human attention for fixing, which isn’t going to be easy.

1. A lot of code doesn’t mean quality code

In the past, quality code meant efficient, maintainable, and easily understandable code. With artificial intelligence helping drive software development, quality code shall center more on how well the code can satisfy the requirements stipulated.

All in all, the introduction of artificial intelligence into software development is expected to revolutionize the industry while enabling non-engineers to contribute to engineering tasks more directly. Technology companies like International Business Machines Corp. (NYSE: IBM) are probably already seeing shifts in their coding teams as a result of integrating AI into their solutions’ development processes.

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