ScarfBench benchmark reveals frontier agents achieve less than 10% behavioral success on Java framework migrations, exposing that compilation success masks deployment and runtime failures.
Summary
Before deploying AI-assisted modernization to production, you need realistic benchmarks. ScarfBench exposes that agents are overconfident in their own success—Claude reported 29/30 builds succeeded when only 22 actually built—and the real work is dependency resolution across config, infrastructure, and runtime layers, not source translation.
Why it matters
Before deploying AI-assisted modernization to production, you need realistic benchmarks. ScarfBench exposes that agents are overconfident in their own success—Claude reported 29/30 builds succeeded when only 22 actually built—and the real work is dependency resolution across config, infrastructure, and runtime layers, not source translation.
Implementation verdict
This doesn't replace your modernization strategy yet. Agents solve portions of migration but cannot independently validate outcomes. Use ScarfBench to benchmark your own tools before production deployment; expect to own build validation, configuration tuning, and environmental troubleshooting regardless of agent success rates.
Sources
Dev Signal
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