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Programming languages in the age of AI

  • The author argues that programming languages are becoming obsolete in the age of AI.
  • They draw parallels between historical advancements and the current rapid evolution of technology.
  • Assemblers became outdated with the introduction of compilers and personal computers in the 1980s.
  • AI has now mastered interpreting complex human languages, eliminating the language barrier.
  • Programming languages are seen as less complex and formal, making them easily translatable for AI.
  • The extensive libraries and documentation available to programmers can be comprehended by AI language models.
  • While developers may not become obsolete, their roles will shift towards problem analysis and system architecture.
  • Important skills for future developers include problem analysis, system architecture decisions, and software design.
  • The ability to structure requirements, minimize dependencies, and create a suitable design are crucial for efficient software development.
  • AI may not yet replace developers due to challenges in system architecture and articulating problems clearly.

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