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Search: clean-code-tools
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Showing 10 results from 54
GarrickZ2/claude-code-cleaner
GitHub Rust MIT LicenseInteractive TUI tool to clean up disk space accumulated by Claude Code (~/.claude/) β reclaim GBs from orphaned project caches, old session data, debug logs, telemetry, and stale config entries.
External source
GitHub
codica2/clean-code-tools
GitHubHow we configure linters for Ruby on Rails projects
External source
GitHub
kcunning/Raspberry-Rogue
GitHub PythonA mini-roguelike, created for running on a Raspberry Pi. This roguelike is intended to be a teaching tool, so look for clean and clear code, not uber-optimization and tons of features.
External source
GitHub
superyhee/claude-ui-copilot
GitHub JavaScriptA React and Vite-based tool with an Express backend that converts text, screenshots, and Figma designs into clean, functional code powered by LLMs. It employs a conversational approach for continuous page effect adjustments. Now supports AWS Bedrock and Anthropic's Claude 3.5 Sonnet.
External source
GitHub
sara1989mohammadi/clean-code-dotnet
GitHub C# MIT LicenseClean Code concepts and tools adapted for .NET
External source
GitHub
zakhikhan/repodump
GitHub Shell MIT Licenserepodump: A lightweight CLI tool that extracts Git repositories as formatted markdown, optimized for sharing with LLMs. Get better AI assistance with your codebase through clean, structured code dumps.
External source
GitHub
questionmark1122/cnn10
GitHub#!bash # # bash completion support for core Git. # # Copyright (C) 2006,2007 Shawn O. Pearce <spearce@spearce.org> # Conceptually based on gitcompletion (http://gitweb.hawaga.org.uk/). # Distributed under the GNU General Public License, version 2.0. # # The contained completion routines provide s... Read more
External source
GitHub
Open-Source-Spatial-Clean-Cooking-Tool/OnStove
GitHub Python MIT LicenseThis repository contain the general code for the Open Source Spatial Clean Cooking Tool OnStove
External source
GitHub
BrunooCS/World-Model-2018
GitHub Jupyter NotebookModern PyTorch implementation of World Models with interactive notebooks for the Car Racing environment. Features VAE vision model, MDN-RNN memory system, and CMA-ES controller with visualization tools. Complete end-to-end reinforcement learning pipeline with clean, well-documented code.
External source
GitHub
davenicoll/cursor-rules
GitHubA style guide for Cursor rulesβcovering clean-code practices, architecture guidelines, language-specific rules and guidelines for tooling usage
External source
GitHub
10 results on this page Β· 54 total found
Showing first 54 accessible GitHub results.