Sixth article in the Agent Experience series explains why public AI benchmarks like SWE-bench don’t reliably predict real-world model performance, since models optimize for benchmark-specific patterns rather than general capability. Recommends running your own evaluations against proprietary code and internal workflows instead of relying on leaderboard scores.