YC-backed founder proposes Jcode bench v1 to make coding evals harder to game
Medium_Anxiety_8143 · reddit · 2026-07-22
A YC-backed founder says current coding benchmarks are easy to game, too expensive, contaminated, binary, and coarse-grained.
He proposes Jcode bench v1, a small set of optimization tasks over very common functions. Models repeatedly submit improved implementations, and each submission is scored on all possible inputs, producing a continuous curve that is harder to saturate and harder to fake. The post argues this makes the benchmark cheaper, deterministic, cheat-resistant, and more representative of real-world optimization behavior.
More from coding & agent
- 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
- GPT-6 Astra beats Factorio with enemies in 44 in-game hours at ~$4,500 API cost — liminal_bardo · 2026-09-11
- Investment Analyst Asks How to Build a Claude-Based Diligence Agent Stack — Careless_Tie2286 · 2026-09-11
- Treating agents like 50 First Dates: a 3-layer context system so every conversation doesn't start from zero — evielync · 2026-09-11
- Running the Firefox MCP on Android via Termux, ngrok, and mcp-proxy — Nervous-Strain7544 · 2026-09-11