How I built an AI-Powered Code Reviewer (and you can too).

The author was frustrated with wasting time debugging code and decided to build an AI-powered code reviewer to automate the process. The goal was to create a command-line tool that inputs a code snippet, uses OpenAI's GPT-4 to analyze and review the code, and returns a detailed review with suggestions, best practices, and potential bug fixes. The author chose a Python backend, OpenAI's GPT-4 API, and a terminal-based command-line application environment. The script allows users to paste code into the terminal, and upon submitting it, receives a detailed review of their code. The review includes feedback on code quality, best practices, potential bugs, performance improvements, and security concerns. The script loads the OpenAI API key from a .env file and uses it to call OpenAI's GPT-4 model. The program allows users to input code directly into the terminal, and when they press Enter twice, the review is generated and displayed. The Python script includes proper error handling and user prompts for a smooth user experience. The review output is structured and clear, providing actionable insights for the user. The author provides a step-by-step tutorial on how to build and run the AI-powered code reviewer.