Context Grip
Web tool to slice codebase clutter & save 50%+ on LLM tokens
What it does
Stop wasting your LLM token budget on bloated, raw codebase text. ContextGrip is an interactive, 100% private web tool that lets you drag & drop folders to natively parse code using AST. It surgically slices out implementation clutter while fully preserving structural interfaces and function signatures. Prevent AI hallucinations, deliver the precise context your models actually need, shrink prompt payloads by 50%+, and slash your LLM API bills—completely locally on your device.
Does the same job
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I am working on a modular open source framework called Griptape that allows Python developers to create LLM pipelines and DAGs for complex workflows that use rules and memory. Griptape can be thought of as "Airflow for LLMs," providing an alternative to the agent-based LangChain approach. Developers can also build reusable LLM tools with explicit JSON schemas that can be executed in any environment (local, containerized, cloud, etc.) and integrated into Griptape workflows. They can also be easily converted into ChatGPT Plugin APIs and LangChain tools via adapters. Tools can be thought of as…
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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.…
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