Alternatives
Products that do what Twigg does
Git for LLMs - a Context Management Tool
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- 5LP
A CLI tool for managing and semantically diffing LLM prompts. Goes beyond text diff by detecting meaning-level changes using embeddings (OpenAI or local). Useful for versioning, testing, and CI/CD workflows.
2025 · github.com
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Oct 2025 · blog.nilenso.com
- 7LP
This is a small plugin for Simon Willison’s llm utility. It uses staged Git changes and generates a commit message using a LLM. You can do things like: git add . # Stage your changes llm commit # Automatically generate a commit message from the staged diff llm commit --model gpt-4 --max-tokens 150 --temperature 0.8 --yes # Customize model settings (e.g., GPT-4) or skip confirmation
2025 · github.com
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I built a tool that converts GitBook docs into LLM-friendly markdown files. Perfect for feeding technical documentation into ChatGPT, Claude, or custom LLaMA models. GitHub: https://github.com/Amal-David/gitbook-downloader Key features: Downloads complete GitBook documentation sites Converts to clean markdown format Web interface for easy URL input Works with ChatGPT, Claude, and other LLMs Preserves document structure and internal links [Still some bugs here, need to fix it] Will publish a hosted version if there is enough interest. Ideal for: Training custom LLMs with…
2024 · github.com
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I've created uithub, a tool that allows developers to easily get LLM context for their coding questions and perform AI repo analysis at scale. Here's what it does: - Get Context: Simply change the 'g' in github.com to 'u' to access AI-powered insights on any GitHub repo. - Flexible Querying: Fetch entire repos, specific branches/subfolders, or filter by file type and size. - API for Developers: Power the next generation of development tools with our API. Key features: - Customizable token limits - File type filtering - Multiple response formats - Size-based file exclusion I built this…
2024 · uithub.com
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llmdog – a lightweight TUI for prepping files for LLMs (recursive selection, .gitignore support, clipboard integration). https://github.com/doganarif/llmdog
2025 · github.com
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LLM Globber is a command-line utility written in Rust for collecting files from various locations, filtering them, and outputting their contents to a single text file. This tool is designed to prepare local files for analysis by Language Learning Models (LLMs). Criticism welcome.
2025 · github.com
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I find LLM interpretability extremely interesting and wanted to create a minimal repo for: - SAE training - Automatic feature interpretation - Visualizing features and running interventions through a GUI You can try it here: https://nanointerpret.pages.dev/ Or check the repo: https://github.com/Belluxx/nanointerpret
9d ago · nanointerpret.pages.dev
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Hey HN, We’re excited to share PySpur, an open-source tool that provides a graph-based interface for building, debugging, and evaluating LLM workflows. Why we built this: Before this, we built several LLM-powered applications that collectively served thousands of users. The biggest challenge we faced was ensuring reliability: making sure the workflows were robust enough to handle edge cases and deliver consistent results. In practice, achieving this reliability meant repeatedly: 1. Breaking down complex goals into simpler steps: Composing prompts, tool calls, parsing steps, and branching…
2024 · github.com
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LLMStack is a low-code platform that can be used to build LLM apps, chatbots and integrate AI experiences into existing products/workflows. It comes with everything out of the box that one needs to build LLM apps locally. It can also be used in a multi-tenant setting, making it available for everyone to use in an enterprise. Some highlights of the platform: - Chain multiple LLM models allowing for complex pipelines - Includes a vector database and necessary connectors to help enrich LLM responses with private data - App templates tailored to specific use cases to quickly build LLM apps…
2023 · github.com
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Hi HN, I built Giti, a command-line tool that converts plain English into actual Git commands using a fast, local language model (Qwen2.5-Coder, ~1 GB). Example: Input: giti "undo last commit" Output: git reset --soft HEAD~1 No internet required after setup. No API keys. You can also run it in an interactive shell to chain commands naturally. Key features: - Natural language to Git translation - Local LLM powered by Qwen2.5-Coder in GGUF format - Works fully offline after model download - Dry-run mode to preview commands before running - Interactive shell mode for session-based workflows -…
2025 · github.com
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2024 · colab.research.google.com
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2015 · git-town.com
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Hi HN. I heard you like dev tools and AI, so we wanted to share our project that we’ve been working on. We’re working on Horizon [1] - a higher level abstraction for LLMs so that developers can spend less time trying to grapple with LLMs to make them work and more time with users. This is the starting feature set which takes an auto-ML approach to identify the optimal LLM model, hyperparameters, and prompt - instead of just giving you the tooling to figure it out yourself. You can read more about it in our documentations. Our view is that as LLMs become increasingly commoditized and prompts…
2023 · gethorizon.ai
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Hey HN, My dad, friend, and I have been working hard on building Twigflo, a flowchart-based project planning tool to help teams visualize their projects using the concept reverse planning. When I was a data consultant, I struggled keeping my team and clients aligned to a specific goal. Spreadsheets or equivalent tracking tools did a good job showing what to do but didn't explain why we were doing it and where we were going. So, like many of us here, we invested the time into building our own tool. We tried to make Twiglfo as goal-oriented and BIG PICTURE as possible. You and your team can…
2022 · twigflo.com
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Hey HN! We just launched PromptL: a templating language built to simplify writing complex prompts for LLMs like GPT-4 and Claude. Why PromptL? Creating dynamic prompts for LLMs can get tricky, even with standardized APIs that use lists of messages and settings. While these formats are consistent, building complex interactions with custom logic or branching paths can quickly become repetitive and hard to manage as prompts grow. PromptL steps in to make this simple. It allows you to define and manage LLM conversations in a readable, single-file format, with support for control flow and…
2024 · promptl.ai
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Hi HN, we're Ashpreet, Eli and Yash and we're excited to share Phidata: a collection of AI Apps built with open-source tools. While helping teams build AI products, we built templates for spinning up LLM Apps quickly. Today we're open-sourcing our templates for building: - RAG LLM Apps - Autonomous LLM Apps - Multimodal LLM Apps - Data Engineering LLM Apps Templates are built with FastApi for serving, Streamlit for prototyping, PgVector for vectors and PosgreSQL for storage. Run them locally using docker and in production on AWS - with 1 command. - Github:…
2023 · github.com
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Hey HN, I built SWE-Kit, LLM toolkit (Function callable tools) which makes building agents specialised in coding like Devin very easy. I noticed a typical pattern while building local agents: creating & perfecting LLM tools to interact with system or codebase was the repeated and time-consuming. We created a layer that simplifies building agents that can interact with code, file system, git, shell and allows you to quickly solve for a wide variety of coding agent use cases. Aren’t there open coding agents already? Well, yes, but most folks would want to solve their specific use case like a…
2024 · swekit.dev
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I’ve been building LLM tooling for a small VC fund and found myself explaining the same mental model over and over to non-technical people around me: how a stateless LLM becomes a chatbot, how tool use works, what an agent is mechanically, and why context windows shape all of it. I never found a guide that covered that full chain at the level I wanted, so I wrote one. It’s nine short chapters, each building on the last. Deliberately simplified: the goal is a useful mental model, not a textbook. Feedback, corrections, and contributions welcome: github.com/ymyke/aiaiai
Apr 2026 · aiaiai.guide
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A few weeks ago I got rejected from a role and the feedback was that I needed a deeper understanding of FAISS and LlamaIndex. So I built triage.flow — an AI assistant that lets you explore and understand GitHub repositories through a chat interface. It clones a repo, indexes it using FAISS + BM25 + tree-sitter parsing, and powers a full UI where you can: - Ask natural-language questions like “how does auth work?” or “explain @src/components/Modal.tsx” - Mention specific files/folders with @filename.ts (autocomplete supported) - See how the agent thinks in real time (Thought →…
2025 · github.com
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