Cursor 3 PR Review Feature Explained: Complete Code Review Workflow Within Your Editor

Cursor 3's PR Review Feature: Another Workflow Integration for Developers

Cursor has introduced a native PR (Pull Request) review experience in its latest third-generation release. This feature allows developers to complete the entire workflow—from writing code, creating PRs, conducting code reviews, to final merging—all within a single editor, eliminating the need to switch back and forth between the editor and GitHub.

Pull Requests are one of the core mechanisms of modern collaborative software development, first popularized by GitHub in 2008. At its essence, a PR is a code merge request: after a developer completes feature development on a separate branch, they submit a merge request to the main branch. Team members then review, discuss, and approve the code changes before merging. This process ensures code quality and transparency in team collaboration. The equivalent concept in GitLab is called a Merge Request (MR), with essentially the same functionality. In large teams, a PR may go through multiple rounds of review, modifications, and CI/CD pipeline verification from creation to merge, with the entire process potentially lasting hours to days.

One-Stop PR Management: From Creation to Merge

In traditional development workflows, developers need to switch to platforms like GitHub or GitLab to create and review PRs after writing code. This frequent context switching disrupts coding rhythm and adds unnecessary cognitive overhead.

Cognitive science research shows that context switching is one of the primary productivity killers for knowledge workers. Research from the University of California, Irvine found that developers need an average of 23 minutes to re-enter a state of deep work after being interrupted. In traditional development workflows, developers must frequently switch between their IDE, browser (GitHub/GitLab), terminal, Slack, and other tools. Each switch means reloading mental models—understanding the current code context, the intent of changes, and review progress. This fragmented work pattern not only reduces efficiency but also tends to lower review quality, causing critical issues to be overlooked.

Cursor 3's PR review feature directly addresses this problem. Developers can now manage the entire PR lifecycle within the editor:

• View and reply to comments: Read PR comments and participate in discussions directly in the editor, eliminating browser redirects
• View code diffs: Compare code changes using the familiar editor interface for a more consistent reading experience. Code diff technology originated from the diff tool in Unix systems, developed by Douglas McIlroy in 1974. Its core algorithm is the Longest Common Subsequence (LCS), which compares two file versions and marks added, deleted, and modified lines. Modern diff displays typically come in two modes: side-by-side view places old and new versions side by side for comparison, while unified view uses colors to distinguish changes within the same column. The advantage of natively rendering diffs in the editor is that developers can directly leverage the editor's syntax highlighting, code navigation, symbol search, and other capabilities to understand changes, rather than reading code snippets lacking context in a browser.
• Browse commit history: Track specific changes in each commit one by one
• Review status tracking: Monitor PR approval progress in real-time and know clearly what the next step should be

The efficiency gains from this integration are very noticeable in daily development—especially for tech leads and senior developers who frequently review team members' code.

Navigation Optimization for Large PRs

Reviewing PRs with extensive file changes has always been an efficiency bottleneck for development teams. For a refactoring PR involving dozens of files, just jumping between files takes considerable time.

Cursor 3 has made two key optimizations for this scenario:

File Tree

The file tree displays all changed files in a directory structure, allowing developers to quickly locate changes in specific modules or directories. Compared to a flat file list, this hierarchical view has clear advantages when dealing with complex project structures.

Large software project codebases typically contain thousands or even tens of thousands of files, organized in multi-level directory structures following modular principles. For example, a typical microservices project might include API layers, business logic layers, data access layers, configuration files, test files, and multiple other directories. When a refactoring PR involves cross-module changes, a flat file list makes it difficult for reviewers to understand the overall structure and impact scope of the changes. The file tree view preserves directory hierarchy relationships, enabling reviewers to quickly determine which modules are affected and which changes are related, thereby building a holistic understanding of the entire PR rather than getting trapped in the fragmented perspective of file-by-file review.

Changes Picker

The changes picker allows developers to quickly jump between multiple changes without manual scrolling or searching. When a PR contains hundreds of file changes, this feature can significantly reduce review time.

Used together, these two tools make reviewing large PRs more efficient and manageable.

Deeper Impact on Developer Workflows

The Potential of AI-Assisted Code Review

Cursor's core competitive advantage is its deeply integrated AI capabilities. Moving PR review into the editor isn't just a UI-level integration—more importantly, it paves the way for AI participation in code review.

Foreseeable directions include: AI automatically flagging potential code quality issues, providing improvement suggestions based on project conventions, generating summary explanations for complex changes, and more. Once these capabilities are realized, both the efficiency and quality of code review will see qualitative improvements.

AI-assisted code review isn't an entirely new concept. Early static analysis tools like SonarQube and ESLint could already automatically detect code convention violations and common defects. But the emergence of Large Language Models (LLMs) has elevated this capability to a new level: LLMs can understand the semantic intent of code, not just syntactic patterns. The industry already has multiple related products, such as GitHub's Copilot Code Review (launched in 2024), CodeRabbit, Sourcery, and others, which can perform automated PR reviews, generate change summaries, flag potential bugs, and suggest performance optimizations. Cursor's key advantage in bringing PR review into the editor is that AI can simultaneously access the complete project context (including unchanged code, project configuration, and dependencies), rather than analyzing based solely on diff fragments. This enables AI review suggestions to be more precise and targeted.

The Platformization Trend of Code Editors

From an industry perspective, Cursor 3's move reflects the trend of modern code editors evolving into development platforms. VS Code has gone far down this path through its plugin ecosystem, while Cursor has chosen the native integration route, pursuing a tighter and smoother user experience.

Since its release in 2015, VS Code has become the world's most popular code editor with over 70% market share, thanks to its powerful extension API and active marketplace (currently hosting over 50,000 extensions). The GitHub Pull Requests extension is one of them, allowing developers to review PRs within VS Code. However, the plugin model has inherent limitations: interaction experiences between different plugins are inconsistent, data flows are difficult to connect, and performance overhead is greater. As a fork of VS Code, Cursor has chosen the native integration route—building PR review as a first-class citizen feature of the editor. The advantage of this approach is enabling deeper functional fusion, such as allowing AI to directly leverage the editor's code indexing and semantic understanding capabilities when reviewing code, providing a seamless interaction experience. The tradeoff is higher development and maintenance costs, and feature iteration that depends entirely on the Cursor team's own pace.

The addition of PR review functionality further evolves Cursor from an "AI code editor" into an "AI development platform," covering a more complete set of development scenarios.

Widening the Gap with Competitors

Competition among AI coding tools is fierce right now, with products like GitHub Copilot and Windsurf iterating rapidly. By integrating PR review—a high-frequency scenario—Cursor further strengthens its positioning as an all-in-one development tool.

When developers complete coding, debugging, and code review all within the same tool, the cost of migrating to other tools increases. This strategy directly helps improve user retention. In the software tools market, user lock-in is an important business strategy. The more work scenarios a tool covers, the deeper the configurations, habits, and workflows users accumulate within it, and the higher the migration cost. This is especially pronounced in development tools: editor configurations (keyboard shortcuts, themes, code snippets), AI conversation history, project-specific rule settings, and more all constitute migration barriers. JetBrains' IDE series (IntelliJ IDEA, PyCharm, etc.) is a classic example of this strategy—building extremely high user stickiness by providing a complete suite of tools from coding, debugging, and version control to database management. Cursor's incorporation of PR review into the editor is essentially replicating this strategy while layering AI capabilities as a differentiating advantage.

Summary

Cursor 3's PR review feature may appear to be a routine update, but it marks an important shift for AI coding tools—from "assisting with writing code" to "covering the complete development workflow." File tree navigation and the changes picker address real pain points in large PR reviews, while the native integration approach leaves ample room for future AI-assisted review capabilities.

For developers already using Cursor, it's recommended to try this feature early, migrate your code review workflow into the editor, and experience the efficiency gains from reduced context switching.