Automation of programming: from the first compilers to generative artificial intelligence

The rapid development of automation tools for programming is a key factor in the digital transformation of society. The purpose of this work is a comprehensive analysis of the evolution of automation tools, including high-level programming languages, structured and object-oriented programming, integrated development environments, low-code/no-code platforms and large language models. The study examines the principles of operation of generative artificial intelligence, its capabilities and limitations, as well as the specifics of Russian solutions in this area. Particular attention is paid to the challenges associated with the widespread introduction of automation: problems of intellectual property, security of generated code, transformation of the programmer's role and adaptation of educational programs. A conclusion is made about the formation of a new paradigm of joint work of humans and artificial intelligence in software development. The practical significance of the work is to provide developers and managers with structured information for making decisions on the implementation of automation tools, the choice of technologies and the assessment of associated risks.

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