Coding Is Dead (koenvangilst.nl)

🤖 AI Summary
A recent reflection on the changing landscape of programming highlights the impact of large language models (LLMs) on the coding profession. As LLMs increasingly assist in writing code, programmers find themselves shifting from traditional hand-coding to providing high-level instructions for AI-driven tools. This transformation allows developers to complete complex projects more quickly, yet raises concerns about the diminishing relevance of conventional programming skills. Notably, examples like Erik Mus, who created an interactive snow map prototype without an engineering background in just hours, underscore this trend. Despite these advancements, the article emphasizes that coding is unlikely to become entirely obsolete. Challenges remain, especially for unique or complex projects that require deep understanding of specific systems and organizational context. Additionally, while LLMs facilitate greenfield developments, they lack the ability to autonomously produce secure and robust software, indicating the continued need for human oversight. Ultimately, while "coding by hand" may fade for routine tasks, software engineering will evolve into roles focused on reviewing, testing, and iterating, ensuring that programming remains an essential skill set in the AI-enhanced future of software development.
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