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A curated, non-BS library of the best resources for evaluating agents (opens in new tab)

Covers 15 stories See all stories this covers including Effective context engineering for AI agentsDiscussed on Hacker News

Covers 15 related stories

Anthropic·

Effective context engineering for AI agents

Discussed on Hacker News and Hacker News
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METR·

Measuring AI Ability to Complete Long Tasks

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OpenAI News·

Harness engineering: leveraging Codex in an agent-first world

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Anthropic·

Equipping Agents for the Real World with Agent Skills

Discussed on Hacker News and DEV
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Anthropic·

Demystifying Evals for AI Agents

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arXiv·

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Discussed on Hacker News and r/LocalLLaMA
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Anthropic·

Writing effective tools for LLM agents–using LLM agents

Discussed on Hacker News
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hamel.dev·

Your AI Product Needs Evals – Hamel's Blog

Discussed on DEV
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arXiv·

T\"ULU 3: Pushing Frontiers in Open Language Model Post-Training

Discussed on Hacker News
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Han, Not Solo·

Hidden Technical Debt of AI Systems: Agent Harness

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