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Friday

Thursday

  2. heise online

    OpenWiki hands-on: building repository memory for coding agents

    heise online tested LangChain's CLI tool OpenWiki, which analyzes a codebase and generates a linked local Markdown knowledge base, then updates it based on new diffs and commits in Git history, and makes the content retrievable through agent prompts and MCP tools. The article notes that AGENTS.md or CLAUDE.md are suitable for short rules such as install commands, tests, style conventions, and security boundaries, and in a monorepo can also be nested in subdirectory files, but they struggle to serve as a complete knowledge model for large, rapidly changing repositories.

    heise online tested LangChain's CLI tool OpenWiki, which analyzes a codebase and generates a linked local Markdown knowledge base, then updates it based on new diffs and commits in Git history, and makes the content retrievable through agent prompts and MCP tools. The article notes that AGENTS.md or CLAUDE.md are suitable for short rules such as install commands, tests, style conventions, and security boundaries, and in a monorepo can also be nested in subdirectory files, but they struggle to se

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    #hot-signal#Tutorials / practice#Agents#English text is being prepared.

Wednesday

  6. heise online

    KI-Harness explained: the invisible scaffolding behind LLMs

    heise online published an article explaining the concept of the LLM Harness: it refers to the entire set of instructions, configurations, and auxiliary programs that enable large language models to be actually put to use, responsible for providing context, enforcing safety guarantees, assessing whether tasks are complete, and enabling the model to interact with other programs. The article points out that the term Harness is used very broadly and currently has no generally accepted definition; usually it can only be defined negatively as "not the LLM itself."

    heise online published an article explaining the concept of the LLM Harness: it refers to the entire set of instructions, configurations, and auxiliary programs that enable large language models to be actually put to use, responsible for providing context, enforcing safety guarantees, assessing whether tasks are complete, and enabling the model to interact with other programs. The article points out that the term Harness is used very broadly and currently has no generally accepted definition; us

    Matched fieldsBody

    #hot-signal#Tutorials / practice#Agents#English text is being prepared.

Tuesday