Code smells are signs or patterns that suggest underlying issues in a code's design or structure, which can lead to problems in the future such as decreased maintainability and readability. Identifying and addressing code smells is essential for improving code quality and ensuring a more robust and efficient codebase. In this tutorial, we will demonstrate how to enhance a TypeScript project by identifying code smells and improving code quality using AI-powered code review tools. We will set up a job board application where we'll implement type-safe features and use an AI-powered code review tool to catch potential issues. The tutorial will show how to identify common code smells in TypeScript, such as long functions, duplicated code, and complex conditionals, and how to address them using the CodeRabbit AI-powered code review tool. The tool will analyze the source code for potential code smells and add suggestions for refactoring opportunities, improving code quality standards.