Vals-Smith turns your codebase into a custom benchmark to measure which model best resolves your coding tasks
arrakis_ai · x · 2026-07-23
ValsAI introduces Vals-Smith, which converts your merged pull requests into real coding tasks and measures the percentage a model can actually resolve. Public benchmarks tell you which model is strongest overall, not which is best on your code. Vals-Smith tells you which model to trust with your code as new models ship weekly.
More from coding & agent
- Dev builds interactive 3D product experience with GPT-6 Astra + Hyper3D Rodin — nikola_mr64990 · 2026-09-11
- Codex tip: use Sol with Astra and Luna sub-agents to save usage — pvncher · 2026-09-11
- agents-best-practices: a provider-neutral Agent Skill for designing and auditing agentic harnesses — tom_doerr · 2026-09-11
- Cognition's SWE-2 uses a KKT duality argument in RL to shift the effort Pareto curve — YouJiacheng · 2026-09-11
- First-ever Three.js Conference lands in Paris, with a panel on AI-shortened design workflows — OdinLovis · 2026-09-11
- Data engineering, not agent frameworks, is the real bottleneck for enterprise AI agents — dhruv2038 · 2026-09-11