The Future in Software Development Lifecycle Looks Filled with AI

The software development fields’s constant shift in landscape is not something that was threatened by generative AI becoming mainstream.

If we refer to web development, the statement is also correct. With browser battles, the new frontier that this web ecosystem felt in the early 2000’s of the .com burst, on top of it, adding the technological advancements in terms of hardware as well, with expansion in the late 2000’s of WWW to mobile world, and now basically everywhere, we can even argue that in this landscape change is constant.

We might even debate that this field was amongst the first who tried to adopt AI at any pace, or to leave the ‘AI will rule the world‘ scarce aside and test things out. We have many jokes in this prospect, ranging from ‘we are waiting to be automated since the early 2000’s“, to “finally, robots will finally get a sneak peek of our burnout phases”.

Although this repetitiveness in terms of discussing Large Language Models (LLM’s) does feel numbing with each article, we will like to give a cold analysis that looks at the current state of ‘AI‘, or near future. Basically, it’s of the opposite spectrum from tech headlines would have you believe.

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