Dev Tools · 1h ago
Why leaderboard coding agents fail on real codebases
A developer found that top-ranked coding agents on public benchmarks performed poorly on their team's actual codebase. The agent's diffs broke unrelated files and failed to meet review standards. The team built a custom evaluation using past pull requests to better assess real-world performance.
Meridian48 take
The story underscores a growing gap between benchmark scores and practical utility, reminding teams to validate AI tools against their own workflows.
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I picked a coding agent off a leaderboard. It flopped on our codebase. →
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