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Supabase releases open-source benchmark for AI coding agents · 2 sources tracked

Supabase has released an open-source benchmark and framework called Evals to evaluate AI coding agents. The tool tests agents like Claude Code, Codex, and OpenCode on real-world Supabase tasks, such as schema creation and debugging, using containerized environments for realistic testing. Initial findings indicate that while top models like Opus 5 and Kimi K3 perform well without assistance, smaller models significantly improve with specialized skills, and all agents show weaknesses in handling migrations and authentication verification. AI

IMPACT This benchmark provides a standardized way to evaluate AI coding agents on real-world tasks, potentially driving improvements in agent capabilities and tooling.

RANK_REASON The cluster describes the release of an open-source benchmark and framework for evaluating AI coding agents, which falls under research and tooling.

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AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Supabase releases open-source benchmark for AI coding agents · 2 sources tracked

COVERAGE [2]

  1. MarkTechPost TIER_1 English(EN) · Michal Sutter ·

    Supabase Releases Evals: an Open Source Benchmark That Scores Claude Code, Codex and OpenCode on Real Supabase Tasks

    <p>Supabase has open sourced supabase/evals, an Apache-2.0 benchmark and framework that runs coding agents including Claude Code, Codex and OpenCode against real Supabase tasks — building schemas, debugging Edge Functions, fixing RLS policies — inside containerized stacks, then s…

  2. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Supabase has released an open-source benchmark called Evals that tests AI coding agents including Claude Code, Codex and OpenCode against real Supabase tasks li

    Supabase has released an open-source benchmark called Evals that tests AI coding agents including Claude Code, Codex and OpenCode against real Supabase tasks like building schemas, debugging Edge Functions and fixing RLS policies. The benchmark runs agents in containerised enviro…