AI Didn't Remove the Engineering Work. It Just Made It Easier to Pretend You Did.

A recent article on Dev.to explores the growing gap between using AI to generate code and the actual practice of software engineering. The author argues that while AI tools like GitHub Copilot significantly accelerate development, they have also lowered the barrier for individuals to claim engineering expertise without truly understanding the underlying architecture or logic of their projects. Using the personal example of a MERN stack application, the author highlights that real engineering involves debugging, managing edge cases, and understanding system constraints—tasks that AI cannot fully automate. The piece warns that the industry is conflating 'having something that works' with 'understanding why it works.' Ultimately, the author suggests that while AI is a powerful assistant, it does not replace the critical thinking and problem-solving skills required to build robust, production-ready software, urging developers to remain engaged with the complexities of their own code.