In the previous post, we discussed what humans and AI solutions are (not) good at and have learned the strengths and weaknesses of humans and modern AI solutions basically complement each other. We have also seen that software engineers often do not leverage their human strengths. Instead, they often position themselves in ways that places them in direct competition with the strengths of AI solutions.

In the previous post, we discussed where we came from as an industry, where we currently are and what the job of a software engineer (should) comprise. We also saw that most software engineers only fulfill a small part of what the role actually comprises, leading to direct competition with modern AI solutions that most likely we will not win.

In the previous post, we discussed that detail knowledge, one of the major differentiators in software engineering careers, ceases to be a differentiator due to the growing capabilities of modern AI solutions. Whatever relevant detail knowledge a software engineer can have, these tools also can have. We stopped with the question what is left to software engineers in such a changing landscape, how to preserve one’s value.