VQV Signal
Selfbench.dev is an open-source platform that automates evaluation of coding AI agents using real-world software from pull requests. It addresses the issue of benchmarks being optimized without reflecting actual performance in specific setups.
Selfbench.dev is an open-source platform that automates evaluation of coding AI agents using real-world software from pull requests. It addresses the issue of benchmarks being optimized without reflecting actual performance in specific setups.
AI-assisted summary based on the listed source.
Hey HN, Today, we're launching selfbench.dev, an open-source tool that lets you create and run evals automatically from your PRs. Every benchmark with sufficient trust eventually gets benchmaxxed (Goodhart's law) - the labs are incentivized to maximize their scores on that benchmark, which isn't predictive on...
This tool helps developers better assess AI coding agents' effectiveness in practical environments rather than relying on potentially misleading benchmark scores. It streamlines the evaluation process, saving time and improving reliability.
VQV organizes public signals from inspectable sources. It does not independently verify the underlying report.
Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.
VQV surfaced this signal because it is recent, relevant to AI Agents, connected to Hacker News Newest.
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