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bettyguo/harness-engineer-roadmap

An interactive roadmap for harness engineering — building the agent loop, tool layers, context engineering, memory, retrieval, eval harnesses, and the rest of the scaffolding around modern LLMs.

TypeScript OTHER GitHub ↗ 公開URL ↗
★ 1
stars
70
AI関連スコア
65
個人開発度
0
AIツール痕跡

SUMMARY AI要約 by gpt-5-mini

Harness Engineering Roadmap is an interactive, curated guide to the engineering around LLMs — the “harness”: agent loop, tool layers, context engineering, memory, retrieval, evals, observability, and production failure modes. It’s aimed at AI researchers and engineers building agents who need practical, production-ready scaffolding rather than model-centric theory. Key features: a live clickable diagram (12 areas, 84 nodes) with vetted resource panels; three pragmatic reading paths for common needs (debugging prod, scaling, learning foundations); durable vs. current tagging for links; nightly CI link checking and quarterly sweeps; static markdown fallback and contribution guidelines. Maintained by Betty Guo. Code is MIT-licensed; content CC-BY-4.0.

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🤝 エージェントフレームワーク (1)
AgentOps

GitHub Topics

#agent-frameworks #agent-harness #agent-infrastructure #agentops #context-engineering #harness-engineering #llm-agents #roadmap

使用言語(バイト数比)

CSS
2.3%
HTML
2%
Python
39.4%
JavaScript
0.1%
PowerShell
5.3%
TypeScript
50.9%

オーナー情報

アカウント
bettyguo
タイプ
User
フォロワー
8
所属
The University of Hong Kong

Final-year PhD @ HKU CS. I prove the architectural limits of LLM reasoning, and build the systems that route around them.

日付

GitHub作成日 2026-05-14
最終Push 2026-05-14
当サイト初検出 2026-05-14
最終取得 2026-05-14 16:10

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