"Software development used to be simpler, with fewer choices about which platforms and languages to learn. You were either a Java, .NET, or LAMP developer. You focused on AWS, Azure, or Google Cloud. Full-stack developers learned the intricacies of selected JavaScript frameworks, relational databases, and CI/CD tools. In the best of times, developers advanced their technology skills with their employer's funding and time to experiment. They attended conferences, took courses, and learned the low-code development platforms their employers invested in."
"Only now are many developers realizing they must radically upskill due to new AI capabilities. Others may be out of work and should use the time to develop new skills to improve their employability. AI is taking a bite out of employment, and more than 100,000 tech employees have been laid off in 2025, according to layoffs.fyi. As more coding is done with code generators, vibe coding tools, and low-code automation platforms, the choice of what to learn isn't straightforward."
Software development now presents many more choices about platforms, languages, and frameworks than in the past. Historical roles were more narrowly defined by stacks like Java, .NET, or LAMP, and platform choices centered on major clouds. Many developers must now radically upskill because of AI-driven automation and widespread layoffs, urging use of time to build new employability skills. Coding increasingly relies on code generators, vibe coding, and low-code automation, complicating learning decisions. Developers should anticipate future demand, favor ecosystems that support learning, collaboration, and adaptability, and choose platforms enabling experimentation across low-code, automation, and cloud.
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