71What's the difference between evaluating a model and evaluating the product around it, and why do you need both?▼mediumOpenAIAnthropicScale AI2 replies◆ premiumA model that scores 92% on your eval can still ship a product users hate, because the model is one component in a system. Teams that only do model evals get blindsided. Here is the distinction that matters.Open full answer →
01Implement a thread-safe token-bucket rate limiter for concurrent API and tool-calling traffic.▼mediumAnthropicOpenAIMicrosoft2 repliesunlockedA favorite practical screen at the labs, because it tests concurrency, time handling, and judgment in 20 lines. The trap is the background thread that wastes CPU. Here is the lazy-refill version interviewers want, plus the follow-ups.Open full answer →
