AI is changing how programming is learned by turning practice into an interactive, always‑on loop: AI tutors and coding copilots give instant feedback, while repo‑aware assistants and evaluators push learners to ship small, working features with tests, metrics, and reviews. Adoption is mainstream but cautious—most developers now use AI weekly, yet many report “almost‑right” answers … Read more
Avoid these seven traps to progress faster: focus on one stack, plan before coding, test as you build, debug systematically, use version control from day one, keep code readable, and treat AI as a helper—not a crutch. 1) Learning too many things at once 2) Coding without a plan 3) Skipping tests and CI 4) … Read more
Employers hire for candidates who can solve real problems, communicate clearly, and ship maintainable code with a bias toward reliability and ownership; interviews are designed to reveal these traits quickly through coding tasks, design discussions, and behavioral stories tied to measurable outcomes. What employers really value Coding interview signals System and API design signals Data … Read more