Even the best developers can overlook typos in complex functions, forget edge cases, and repeat patterns that can be refactored. To enhance the development process, I aimed for automated feedback, a consistent review style, and a faster PR cycle while ensuring that proprietary code remains local without uploading it to third-party tools. I utilized OpenAI for code review and suggestions, OS to read local files, Pandas to store comments and metadata, and python-dotenv to manage API keys. To set it up, install the necessary libraries using pip install openai pandas python-dotenv. Store your API key in the .env file as OPENAI_API_KEY=your_api_key. My focus was on Python files located under the src/ directory to streamline the code review process and maintain code quality efficiently.
Creating My Own AI Code Reviewer: A Journey into Building a Feedback Tool | by Mariyam Mahmood | CodeToDeploy | July 2025
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