Deep-dive guides on AI agents, agent orchestration, MCP, and developer tooling.
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Position bias, verbosity bias, and self-preference bias can silently distort agent eval scores — here is how to design a judge pipeline that resists them, plus why trajectory evaluation catches what outcome scoring misses.
Benchmark leaderboards measure task completion under lab conditions, not the compounding step failures that sink agents in production. Here is the math, and a blueprint for an eval harness that actually predicts reliability.