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Playbooks and hiring-loop notes for international interview practice
55% faster in one lab task, 19% slower in a field trial, more throughput and more incidents in DORA 2025. What the numbers measure and how to test it on your team.
Engineers decide in the first screen: stack, salary, team, interview steps. A template in that order, a before-and-after rewrite, and the EU pay rules since June 2026.
Twenty questions that keep coming up for platform and backend roles, with the follow-up that separates juniors from seniors, plus what changed in 1.33 to 1.35.
What a two-round intern loop actually asks: one coding problem with follow-ups, a few questions about your project, and host matching that can take eight weeks.
Fifteen story slots a senior loop keeps probing: conflict, a wrong call, an outage, influence without authority. How to fill them from your own work.
DoorDash system design is logistics, not vacuum abstractions: courier dispatch, ratings, promos, and real-time tracking. Round format, rubric, typical prompts, and an IT Career Gym prep plan.
Amazon system design tests architecture and soft skills: Leadership Principles, Bar Raiser, trade-offs. Round format, rubric, typical prompts, and an IT Career Gym prep plan.
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Real AI PM interview questions from OpenAI, Meta, Google, and Anthropic in 2026: Product Sense, RAG, hallucinations, vibe coding, strategy, and behavioral rounds.
A survey of FAANG and startup engineers: what actually changed in questions, cheating detection, and the return to in-person interviews.
A pair mock is five steps: match a partner at your grade, pick a slot, prep questions, run two timed halves with feedback, then keep the pair if it works. Board, call links, and a 60-minute teammate session included.
Real Stripe tasks instead of "design Twitter": ledgers, transaction APIs, authorization, rate limiters. Evaluation rubric, top 5 questions, and prep strategy.
Why the new wave of AI sourcing tools fails to fix hiring—and spins the technical recruiting death spiral faster than before.
How Coinbase cut excess API calls by 64% at peak: over-fetching, polling, GraphQL cache, and guardrails. An adapted engineering case study.
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