Learn to Code in the AI Era

Everyone around you seems to let AI write the code. You are not sure whether that makes you efficient or quietly unemployable, and the interviews you are preparing for do not seem to have gotten any easier. Learn to Code in the AI Era is a practical guide for computer science students, bootcamp graduates and new developers who want real, defensible skill without pretending AI does not exist. It is not a book about whether AI will take working developers' jobs, a guide to surviving your first year on the job, or a security manual for AI-generated apps. It is about the stage before all that: building the ability that makes you worth hiring, and being able to show it. Inside, you'll learn: A three-lane rule for deciding when to write it yourself, when to use AI as a tutor, and when to hand it off A blank-file test that shows whether you understand something or only recognise it How to ask an assistant for hints, explanations and quizzes instead of finished answers How to read, test and debug code you did not write What hiring managers describe testing now, and how to build projects you can defend line by line An interview prep schedule that stays rigorous without taking over your life Where cheating begins in courses and interviews, and why it tends to get caught A twelve-week plan to put all of it into practice No hype, no guarantees, and no lectures. Just a clear way to keep your own skills growing while the tools keep changing.