How we Build Agent Environments & Tasks
TLDR: This is a practical guide on how we create synthetic agent environments and tasks. By the end, we have a two-step pipeline.
TLDR: This is a practical guide on how we create synthetic agent environments and tasks. By the end, we have a two-step pipeline.
Learn how Cline evaluates and improves open weight coding agents using Terminal Bench, with practical heuristics for model performance, token efficiency, reasoning, providers, and eval optimization.
An Alibaba open-source multi-language benchmark for evaluating LLMs in repository-level automatic code review, featuring an AI-assisted and expert-verified dataset.
Test LLMs on real tasks. Compare models side-by-side.
Ship quality agents at scale. Braintrust is the AI observability platform for tracing production, running evals, and catching regressions before they reach users.
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