Source URL: https://simonwillison.net/2025/Apr/10/llm-fragments-go/#atom-everything
Source: Simon Willison’s Weblog
Title: llm-fragments-go
Feedly Summary: llm-fragments-go
Filippo Valsorda released the first plugin by someone other than me that uses LLM’s new register_fragment_loaders() plugin hook I announced the other day.
Install with llm install llm-fragments-go and then:
You can feed the docs of a Go package into LLM using the go: fragment with the package name, optionally followed by a version suffix.
llm -f go:golang.org/x/mod/sumdb/note@v0.23.0 “Write a single file command that generates a key, prints the verifier key, signs an example message, and prints the signed note."
The implementation is just 33 lines of Python and works by running these commands in a temporary directory:
go mod init llm_fragments_go
go get golang.org/x/mod/sumdb/note@v0.23.0
go doc -all golang.org/x/mod/sumdb/note
Via @filippo.abyssdomain.expert
Tags: generative-ai, llm, plugins, go, ai, llms, filippo-valsorda
AI Summary and Description: Yes
Summary: The text discusses the release of a new plugin for LLMs (Large Language Models) that allows users to integrate Go package documentation into LLM interactions, highlighting advancements in generative AI through practical implementations. This is particularly relevant for developers and professionals working with AI technologies and infrastructure.
Detailed Description: The content describes a significant feature in the context of generative AI, focusing on a new plugin released by Filippo Valsorda that utilizes the `register_fragment_loaders()` hook for Large Language Models (LLMs). This demonstrates how LLMs can be integrated with other programming environments, in this case, the Go programming language.
– **Plugin Release**:
– The plugin allows users to feed Go package documentation into an LLM.
– It is the first plugin developed by someone other than the original author, suggesting a growing community around LLM functionality.
– **Installation Information**:
– Users can install the plugin with a simple command: `llm install llm-fragments-go`.
– **Usage Example**:
– An example command is provided showcasing how an individual can input documentation using the `go:` fragment, along with package versioning.
– **Implementation Details**:
– The implementation requires just 33 lines of Python code, emphasizing the simplicity and efficiency of integrating LLM functionality with existing software projects.
– **Commands Involved**:
– It also outlines necessary commands to set up the project, including initializing a Go module and fetching the required documentation, showing a clear pathway for developers to follow.
This content is significant for professionals exploring the intersection of generative AI and programming, particularly highlighting how LLMs can enhance software development workflows by leveraging documentation efficiently. Such advancements could lead to improved productivity and innovative development practices in AI-centric applications.