A structured guide for software engineers on applying critical thinking in an AI-augmented world, using the 'Who, What, Where, When, Why, How' framework. Covers how to avoid blindly trusting AI outputs, define the real problem before jumping to solutions, consider context and scope, balance rigor with time constraints, use the Five Whys technique for root cause analysis, and communicate solutions with evidence. Emphasizes that AI can produce plausible-sounding but incorrect answers, and that human accountability, humble curiosity, and evidence-based reasoning remain essential.