CodeRabbit

🖥️ Try CodeRabbit CLI (Free) 👉 https://coderabbit.ai CodeRabbit is like Grammarly for your code — an AI code reviewer that runs directly inside your Terminal! It reads your code, flags errors, suggests fixes, and even integrates with AI coding agents like Claude, Cursor, and Gemini. In this video, I walk through exactly how to install and use CodeRabbit CLI — from setup to running your first review — even if you’re not a developer. 💡 Whether you’re a beginner, a creator experimenting with AI-written code, or a professional dev looking for a quick sanity check, CodeRabbit gives you confidence before you hit commit. 🖥️ Try CodeRabbit CLI (Free) 👉 https://coderabbit.ai Run code reviews locally — no cost, no cloud upload, no setup. Early access supports Mac and Linux, with Windows (via WSL) coming soon! 💬 What You’ll Learn How to install CodeRabbit CLI inside Ubuntu (Windows Subsystem for Linux) How to create and review your first project How CodeRabbit finds and explains bugs in your AI-generated code How to loop back fixes to Claude automatically Bonus: Every command explained (below) ⚙️ Command Reference: Everything Used in the Video wsl --install -d Ubuntu → Installs Ubuntu inside Windows (creates a Linux environment so you can run Linux commands). sudo apt update && sudo apt install unzip -y → Updates your package list and installs “unzip,” required by CodeRabbit’s installer. curl -fsSL https://cli.coderabbit.ai/install.sh | sh → Downloads and installs the latest CodeRabbit command-line tool. source ~/.bashrc → Reloads your shell so new commands (like coderabbit) are recognized. coderabbit --help → Lists all available CodeRabbit commands and options. mkdir coderabbit-demo && cd coderabbit-demo → Makes a folder called coderabbit-demo and moves into it (keeps your workspace organized). mkdir -p app/users → Builds a nested folder path for your project (so you can store page.tsx properly). nano app/users/page.tsx → Opens the Nano text editor so you can paste the code you got from Claude. Save and exit Nano: Press Ctrl + O, then Enter (to save) Press Ctrl + X (to exit) git init → Starts a new Git repository (required for CodeRabbit to track your files). git branch -M main → Renames the default branch to “main” for compatibility. git add . → Adds all current files to Git so they’re ready to commit. git commit -m "Initial demo file" → Saves your project’s first snapshot. coderabbit auth login → Links your terminal to your CodeRabbit (or GitHub) account so you can run reviews. coderabbit review --plain → Runs a full AI-driven review and prints feedback directly in your terminal git status → Shows what files are staged, modified, or ignored. echo "*.save" .gitignore echo "*.save.*" .gitignore → Prevents unwanted backup files from being included in future commits. git rm --cached app/users/page.tsx.save.1 → Untracks the unwanted backup file from version control. git add .gitignore git commit -m "Remove backup and update .gitignore" → Saves your changes so only your clean files are tracked. git add app/users/page.tsx git commit -m "Apply fixes from CodeRabbit review" → Commits your updates after you’ve pasted in Claude’s improved code. coderabbit review --plain -t uncommitted → Reviews your uncommitted local edits to instantly check if the issues are fixed. alias cr="coderabbit" → Creates a shortcut so you can just type cr review ⚡ Final Thoughts CodeRabbit is the safety net between “AI wrote it” and “we’re shipping it.” It keeps your workflow fast, clean, and secure — right from your Terminal. Try it yourself and let me know in the comments how it performs with your favorite AI coding tools.