No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by ai-for-developers · Agent Tool · ★ 2.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-ai-coding-tools safe to install? View the security audit →
Awesome AI Coding Tools 💡 Curated list of AI-powered coding tools: AI code editors, code completion engines, review assistants, refactoring agents, LLMs for developers, and tools that turn natural language into code. Ideal for developers, teams, researchers, and tech enthusiasts looking to leverage artificial intelligence in their software engineering workflows. 🛠️ Contributions welcome – Open a PR. 📚 Table of Contents 🌟 AI Code Assistants & Editors 🛠️ AI App Builders ✨ AI Tools for Developers ✍️ AI Code Completion 🧠 Code Search & Navigation 🛠️ Code Review & Refactoring 📦 LLM Code Models ⚙️ Natural Language to Code Tools 💻 Shell & CLI Assistants 🧑💻 Coding Agents 🔄 PR Review Agents 🧪 Testing & QA Tools 🧰 App Generators 🎨 UI Generators 🔎 Snippet & Regex Tools [📖 Documentation Tools](#-documentatio
| Stars | 1,960 |
| Forks | 582 |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 57.0143855743563/100 |
| Open Issues | 302 |
| Last Updated | 2026-04-25 |
| Created | 2025-06-27 |
| Est. Tokens | ~49k |
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awesome-ai-coding-tools is A curated list of AI-powered coding tools. It is categorized as a Agent Tool with 2.0k GitHub stars.
You can find installation instructions and usage details in the awesome-ai-coding-tools GitHub repository at github.com/ai-for-developers/awesome-ai-coding-tools. The project has 2.0k stars and 582 forks, indicating an active community.
awesome-ai-coding-tools is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to awesome-ai-coding-tools on Agent Skills Hub include awesome-ai-tools, free-ai-tools, site-for-developers. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: