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 run only 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 repliesunlockedLabs reach for this practical screen often, since it probes concurrency, time handling, and judgment inside 20 lines. The pitfall is a background thread that burns CPU. Below is the lazy-refill approach interviewers expect, along with the follow-ups.Open full answer →
