The software development world is undergoing a quiet transformation. For veterans of the field—those who've been writing code since the days of Stack Overflow marathons and hours of debugging with no help but documentation and grit—there's a noticeable shift in how newer developers approach the craft.
Many experienced engineers, with 10, 15, or even 20 years in tech, feel that the essence of true learning is fading. With the rise of AI assistants like ChatGPT, Copilot, and code-completing IDEs, a worrying trend has emerged: the "lazy brain" phenomenon.
Before AI, knowledge was earned through effort. Engineers:
This struggle formed a deep mental map of the systems they worked with. They didn't just know what code did, but why it worked.
AI today offers powerful shortcuts:
While this accelerates delivery, it decouples learning from doing. New programmers may ship fast, but they often don't know how their systems truly work.
In the old days, copying a snippet from Stack Overflow required understanding it. It was usually incomplete, or context-specific. You had to:
Today, AI gives you context-perfect code, tailored to your input prompt. No need to learn. Just paste and run.
The result? Knowledge stays shallow.
In this landscape, senior engineers are more important than ever:
AI can assist, but it cannot replace this depth.
New programmers are not lazy by nature—they're growing up in a different world. But we, the veterans, must: