Uithub – Easily Ask Your LLM Coding Questions

What it does

Change just one letter and get github repo context to use as context for your LLM.

i pass github repo links to cursor a lot when I need help setting something up, but it only reads the readme file until i found this tool: http://uithub.com just change the g to a u in the url and you have a full repo context: https://uithub.com/ralphjsmit/laravel-seo With uithub API, you can easily get LLM context in your daily work, perform AI repo analysis at scale, and power the next generation of development tools and applications. With uithub, we want to foster innovation in AI coding by allowing individuals to create systems that analyse and manipulate code at scale. Here are some ideas to get the gears turning.. Test repositories, deploy APIs, generate OpenAPI, and use LLM to verify…from uithub.com

In the maker’s words, at launch

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…

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  GitHub Repo Visibility AnalyzerNov 2025 · nakora.ai · ▲141

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  GitHub-assistant – Natural language questions from your GitHub data2024 · github.com · ▲49

  Simon(sfarshid) and I spend a lot of time on GitHub. As data nerds we put together a quick tool to explore your repository’s data. How it works: - Data Loading: We use dlt to pull data (issues, PRs, commits, stars) from GitHub - Semantic Layer: Relta wraps the underlying dataset into a semantic layer so the LLM doesn’t hallucinate. - Text-to-SQL: A text-to-SQL agent transforms your plain-English question into a query using the semantic layer - Generative Charts: assistant-ui dynamically generates a chart based on the SQL query - Refinements: If the semantic layer can’t handle your question,…

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  LlamaPReview – AI GitHub PR reviewer that learns your codebase2024 · github.com · ▲102

  I built LlamaPReview to solve a common frustration: most AI code reviewers either require complex setup or don't truly understand project context. Key differentiators: 1. One-click installation through GitHub Marketplace - no configuration needed 2. Analyzes your entire codebase first to understand: - Project structure - Coding patterns - Naming conventions - Architecture decisions 3. Completely free with no usage limits 4. Fully automated PR reviews with zero human intervention required Technical implementation: - Built on top of llama-github (my open source project) - Focuses on deep code…

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  Badge that shows how well your codebase fits in an LLM's context windowFeb 2026 · github.com · ▲88

  Small codebases were always a good thing. With coding agents, there's now a huge advantage to having a codebase small enough that an agent can hold the full thing in context. Repo Tokens is a GitHub Action that counts your codebase's size in tokens (using tiktoken) and updates a badge in your README. The badge color reflects what percentage of an LLM's context window the codebase fills: green for under 30%, yellow for 50-70%, red for 70%+. Context window size is configurable and defaults to 200k (size of Claude models). It's a composite action. Installs tiktoken, runs ~60 lines of inline…

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