The behavioral round quietly decides more FAANG loops than coding or system design — and most engineers spend 300 hours on LeetCode and 45 minutes preparing for it.

In this deep dive, we unpack:

– Why FAANG weights behavioral signal so heavily (leveling, risk, culture fit)– The STAR framework, dissected letter by letter, with the failure modes at each step– CARL and why the Learning layer is the punchline, not an afterthought– How to choose between STAR and CARL in real time based on the verb in the question– Building a 12-story bank that covers 14 behavioral dimensions– Company-specific calibration: Amazon's Leadership Principles, Google's Googleyness, Meta's core values, Apple's craft focus, Netflix's candor culture– The five anti-patterns that quietly tank candidates who think they did well– Walkthroughs of ten of the most common behavioral questions with model approaches– The five shifts that separate an L5 answer from an L6 answer

Whether you're prepping for your first FAANG loop or trying to figure out why your last one downleveled you, this episode gives you the structure, the frameworks, and the homework to fix it.