The article argues that contrary to claims that AI will eliminate software engineering, the profession is not ending but evolving. It contends that AI tools will change how engineers work, shifting focus from writing code to higher-level tasks like system design, problem-solving, and managing AI-generated code, making engineering more complex and abstract rather than obsolete.
The article argues that contrary to claims that AI will eliminate software engineering, the profession is not ending but evolving. It contends that AI tools will change how engineers work, shifting focus from writing code to higher-level tasks like system design, problem-solving, and managing AI-generated code, making engineering more complex and abstract rather than obsolete.
The article argues that large language models are fundamentally unsuited for software architecture because they lack true understanding, reasoning, and the ability to grasp complex trade-offs, context, and long-term system design considerations that human architects handle.
The article argues LLMs are fundamentally unsuited for software architecture because they lack genuine understanding and cannot reason about trade-offs or make high-level, context-dependent design decisions.
The article argues that contrary to claims that AI will eliminate software engineering, the profession is not ending but evolving. It contends that AI tools will change how engineers work, shifting focus from writing code to higher-level tasks like system design, problem-solving, and managing AI-generated code, making engineering more complex and abstract rather than obsolete.
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