I got 30% better AI coding results CodeSlimmer v2.2, a new open-source tool by developer akasula09, converts local codebases or public GitHub repositories into a single LLM-ready text file with token estimation and directory mapping, claiming to improve AI coding results by 30%. The tool supports AI models including Claude 3.5, Gemini 3.1 Pro, GPT-4o, and DeepSeek R1, and is installable via pip. It features remote GitHub URL support, cross-platform clipboard integration, overwrite safety, ASCII directory trees, XML output, token estimation, and smart file size formatting. Safely convert local codebases or public GitHub repos into clean, LLM-ready context with token estimation and directory mapping. CodeSlimmer packs any code repositoryβ€”whether stored on your local machine or hosted on GitHubβ€”into a single text file structured specifically for AI models like Claude 3.5 , Gemini 3.1 Pro/3.6 Flash , GPT-4o , and DeepSeek R1 . - 🌐 Remote GitHub URL Support: Pass any public GitHub URL https://github.com/user/repo https://github.com/user/repo to fetch, extract, and slim repositories directlyβ€”zero git required. - πŸ“‹ Cross-Platform Clipboard Integration: Instantly copies output directly to your system clipboard Windows, macOS, or Linux . - πŸ›‘οΈ Overwrite Safety: Inspects signature headers to ensure local files are never overwritten accidentally. - 🌳 ASCII Directory Tree: Builds a visual project structure map at the very top of your context output. - 🏷️ LLM-Friendly XML Output: Encloses code in clear