Code Contextualizer
Copy information from multiple files in a simple way for LLM
Code Contextualizer launched on March 4, 2024 with 4 votes.
What it does
this tool create a bridge between your source files and large language models like chat-gpt,gemini and claude.
Does a similar job
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- GFGit for LLMs – A context management interfaceOct 2025 · twigg.ai · ▲106
Hi HN, we’re Jamie and Matti, co-founders of Twigg. During our master’s we continually found the same pain points cropping up when using LLMs. The linear nature of typical LLMs interfaces - like ChatGPT and Claude - made it really easy to get lost without any easy way to visualise or navigate your project. Worst of all, none of them are well suited for long term projects. We found ourselves spending days using the same chat, only for it to eventually break. Transferring context from one chat to another is also cumbersome. We decided to build something more intuitive to the ways humans think.…
- RCRepogather – copy relevant files to clipboard for LLM coding workflows2024 · github.com · ▲65
Hey HN, I wanted to share a simple command line tool I made that has sped up and simplified my LLM assisted coding workflow. Whenever possible, I’ve been trying to use Claude as a first pass when implementing new features / changes. But I found that depending on the type of change I was making, I was spending a lot of thought finding and deciding which source files should be included in the prompt. The need to copy/paste each file individually also becomes a mild annoyance. First, I implemented `repogather --all` , which unintelligently copies all sources files in your repository…
- LALLM, a Rust Crate/CLI for CPU Inference of LLMs (LLaMA, GPT-NeoX, etc.)2023 · github.com · ▲45
G'day, HN! I'm one of the maintainers of `llm`. I've been working alongside a trusty group of contributors to bring this project to life, and we're now at a point where we're ready to share it with the world. Large language models (LLMs) are taking the computing world by storm due to their emergent abilities that allow them to perform a wide variety of tasks, including translation, summarization, code generation, and even some degree of reasoning. However, the ecosystem around LLMs is still in its infancy, and it can be difficult to get started with these models. `llm` is a one-stop shop for…
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