A Developer's Take on Staying Relevant Through the LLM Revolution

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A seasoned software developer reflects on how the rise of large language models is reshaping his approach to personal coding projects. He describes a recurring career pattern of having to relearn his craft with each major technological shift, from Python and cloud platforms to machine learning and now LLMs. While he finds AI coding agents less efficient than his own expertise for familiar tasks, he notes they become powerful tools when tackling areas outside his comfort zone, such as frontend development. Personal projects, he argues, serve as a critical strategy for keeping pace with global tech trends beyond the constraints of commercial work. He frames LLMs not as replacements for developers but as enablers that expand what an individual can independently build and experiment with.

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