Beyond SWE-bench: Production Metrics as the New Standard for AI Agent Evaluation

As SWE-bench has become saturated with top agents achieving scores in the 80s, leaderboard rankings no longer differentiate between AI coding tools. The industry is shifting toward production-based evaluation metrics—PR merge rates, bug introduction rates, and code review cycle times—that reveal real-world impact. This marks a fundamental transition: agent selection must become an engineering decision aligned with specific architectural contexts rather than a procurement choice based on benchmark claims.