shareAI-lab / shareAI-lab/learn-claude-code

感谢大佬的教程,学完后自己做了一个乐高式组装harness的项目,分享出来共同学习

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Dominant language
Python
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Merged PRs (30d)
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Description

llm-space
可以随意搭配 tool、特性(memory、 context compact等)创建harness并进行对比实验。
目前按照此课程实现了大部分特性,剩余特性正在开发。

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Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

The issue points to the external llm-space project, but it does not name a file, test, or entry point in this repository. Start by reviewing the linked project and the surrounding issue discussion; no specific change or completion criterion is defined here.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
ai
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
15/100

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