AI Can Write Code, But It Can't Build Your Mental Model
Beyond Recall and the Illusion of Competence
The debate about AI in programming misses the point: it's not about who writes the code, but who understands it. Even before AI, developers relied on documentation, Stack Overflow, and colleagues—ownership came from understanding, not authorship. The real danger is outsourcing thinking, not typing. Debugging builds intuition, and AI can create an illusion of competence by making systems work without comprehension. For juniors, this is critical: skipping the hard debugging sessions means never building the mental models essential for solving novel problems. The solution isn't to avoid AI, but to use it for the tedious parts while retaining understanding and architectural decisions. In the future, developers who understand systems, not just code, will stand out.
You don't learn systems by successfully changing them; you will be able to successfully change them once you are able to explain why they fail.