{"repo":"amantus-ai/llm-codes","free":true,"listed":false,"github":"https://github.com/amantus-ai/llm-codes","clone":"git clone https://github.com/amantus-ai/llm-codes.git","description":"Transform developer documentation to clean Markdown","language":"TypeScript","stars":346,"topics":["llms","llmstxt","markdown"],"license":"MIT","category":"ai-agents","readme_excerpt":"llm.codes 📖 - Transform Developer Documentation for AI Agents A high-performance web service that converts JavaScript-heavy documentation sites into clean, LLM-optimized Markdown. Built specifically to solve the problem of AI agents being unable to parse modern documentation sites that rely heavily on client-side rendering. Why llm.codes exists : Modern AI agents like Claude Code struggle with JavaScript-heavy documentation sites, particularly Apple's developer docs. This tool bridges that gap by converting dynamic content into clean, parseable Markdown that AI agents can actually use. 📖 Read the full story : How llm.codes Transforms Developer Documentation for AI Agents Technical Architecture Core Problem Solved Modern documentation sites (especially Apple's) use heavy JavaScript rendering that makes content invisible to AI agents. llm.codes solves this by: - Using Firecrawl's hosted browser, or opt-in self-hosted Playwright, to execute JavaScript and capture fully-rendered content - Converting dynamic HTML to clean, semantic Markdown - Removing noise (navigation, footers, duplicate content) that wastes AI context tokens - Providing parallel URL processing for efficient multi-page documentation crawling Key Features - Parallel Processing : Fetches up to 10 URLs concurrently using bounded promises - Smart Caching : Redis-backed 30-day cache reduces API calls and improves response times - Content Filtering : Multiple filtering strategies to remove: - Navigation elements and ","default_branch":null,"files":null,"tree":[],"storefront":"/r/amantus-ai","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/amantus-ai/llm-codes/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}