AI-Driven Code Review and Quality Assurance

Writing code that works is only the first step. In a professional environment, it is equally important to write code that is clean, maintainable, performant, and consistent. This is typically enforced through a process of code review, where team members manually inspect each other's work. While essential, manual code reviews can be time-consuming and often focus on stylistic issues rather than deeper logical or architectural problems.

Cursor can act as an automated first-pass reviewer, helping us catch common issues and enforce standards before our code is ever seen by a human. This streamlines the review process, improves code quality, and allows our teams to focus on more significant challenges. In this lesson, we will learn how to use Cursor for code review and quality assurance within our Markdown Notes App.

Using Cursor for automatic in-line code review

Cursor’s deep understanding of programming languages allows it to spot issues that might not be obvious at first glance. It can identify not just syntax errors, but also performance bottlenecks.

Let’s look at a “bad” version of our register function. It works, but it’s inefficient. There are two separate database queries, as ...