Didn’t developers always copy code, even before AI?

A viral Reddit discussion is reframing the heated debate around AI coding tools like GitHub Copilot, Cursor, and Claude. The core argument posits that the practice of copying and adapting code is not new; it has been a standard part of a developer's workflow for decades. Before AI, engineers routinely sourced solutions from Stack Overflow threads, GitHub repositories, and technical blogs, then modified the snippets for their specific use case. The post suggests that AI assistants are simply automating the initial discovery phase, generating a relevant code block instead of the developer manually searching across multiple browser tabs.

The critical question raised is whether this automation fundamentally changes programming or merely accelerates an existing process. Proponents of the view argue that the developer's essential tasks—reading, comprehending, testing, and integrating the code—remain unchanged. The tools shift from being search engines (like Google or Stack Overflow) to being synthesis engines (like Copilot or Claude 3.5). This perspective challenges the alarmist notion that AI is creating a generation of developers who don't understand their code, suggesting instead that it changes the source material, not the core skill of critical evaluation and adaptation required to use it effectively.