The Coming AI Revolution in Software Engineering
Large language models (LLMs) are rapidly improving their ability to write code, leading to the exploration of pure-AI software engineers. In the short term, software engineers should learn AI, improve their status, and leverage AI tools. Mid-term, expertise in maintaining and improving large legacy codebases will become increasingly valuable, as LLMs still struggle with complex, hard-to-verify projects involving massive amounts of code. Long-term, the core competency of software engineers will shift towards accountability and trustworthiness—qualities LLMs find difficult to replicate. Ultimately, those engineers who can oversee AI systems and ensure the reliability of their outputs will be the last to go.
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