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Llama.vim – Local LLM-assisted text completion (github.com)

530 points by kgwgk · 558 days ago · 108 comments on HN

Article summary

Llama.vim is a Vim plugin that provides local LLM-assisted text completion, allowing users to auto-suggest code and text with the help of a local LLM server. The plugin supports features such as auto-suggestion on cursor movement, instruction-based editing, and control over max text generation time. It also provides performance stats and supports large contexts even on low-end hardware. The plugin can be customized and configured to work with different LLM models and settings.

Main themes

  • LLM-assisted text completion
  • Vim plugin
  • Local LLM server
  • Code suggestion
  • Text editing
  • AI-powered development

What commenters say

  • Some users find LLM-assisted code completion to be useful, but others have had mixed experiences with the quality of suggestions and the value they provide.
  • The effectiveness of LLMs can vary greatly depending on the domain, language, and specific use case, with some users finding them more useful for certain tasks than others.
  • Senior developers may benefit the most from LLMs, as they can guide the model and use it as a tool to augment their existing knowledge and skills.
  • Some users prefer to use LLMs as a typist or for generating unit tests, rather than relying on them for code completion or other tasks.
  • The quality of LLM suggestions can be improved by providing more context and guidance, such as pointing the model at specific documentation or using retrieval-augmented generation techniques.
  • Some users have found that LLMs can be a distraction or get in the way of their workflow, and prefer to use other tools or methods for code completion and text editing.
  • The value of LLMs may depend on the specific model and implementation, with some users finding certain models or plugins to be more useful than others.
  • There is a desire for more flexible and non-intrusive LLM integration, such as having a separate window or tool that can provide suggestions and assistance without interrupting the user's workflow.