benchmark

ReactBench is a benchmark for evaluating coding agents on realistic React work, with published scores, cost comparisons, and example tasks focused on production-grade frontend issues.

An open benchmark and leaderboard for AI CAD agents, with 308 prompts across 20 categories and layered scoring for geometry, engineering, manufacturability, and cognition.

A visual benchmark that asks AI coding agents to generate a single-file Three.js animation of a banana plant’s full life cycle, then compares the live results side by side.

DeepSWE is a benchmark for measuring frontier coding agents on original, long-horizon software engineering tasks. The page shows a leaderboard, methodology overview, task examples, and a full blog explaining the benchmark design and results.

A black-box benchmark report on how AI-generated tests detect functional bugs in live APIs across 20 scenarios and 7 systems.

A workbench report comparing MiniMax M3 and GLM 5.2 on autonomous coding tasks, with scored results, latency and cost data, task-type breakdowns, and examples of where each model performed better.

A Topos case study showing how a guided refactor of a synthetic healthcare claims engine reduced token usage, wall time, and estimated cost for later Gemini feature sessions.

An in-depth Medium post from IronBee about how a verification loop affects AI coding agents, using Web-Bench and comparing DeepSeek with Claude Opus on a real web app task.

A playful benchmark dashboard that ranks LLMs based on one person's 10-question scoring process.