Supabase open-sources Evals for real-world AI agent benchmarking

大模型之路 · wechat · 2026-08-17

Existing coding benchmarks often rely on synthetic problems, missing real-world backend risks like security misconfigurations. Supabase has open-sourced Evals, a tool that transforms real support tickets and GitHub issues into evaluation tasks involving schema design, RLS policy fixes, and migrations.

It combines deterministic checks (e.g., access validation) with LLM-as-a-judge scoring. Early results suggest tool usage capability is more critical than base model size, revealing significant behavioral differences in documentation reading and coding patterns among agents.

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