How Copilot and Cursor Supercharge Your Development Workflow

1. Introduction

Since the release of ChatGPT, AI tools have become increasingly popular. Among them, Copilot and Cursor stand out for significantly improving development efficiency. Both are AI‑powered assistants that provide strong support for developers.

2. Tool Overview

2.1 Copilot

Copilot is an AI‑based code completion plugin that works with common IDEs such as IntelliJ IDEA, VSCode and Visual Studio. Trained on over one billion lines of code, it can understand and generate code, completing logic blocks or methods based on comments, thus speeding up coding and reducing repetitive work.

2.2 Cursor

Cursor is a multifunctional intelligent tool that not only checks and refactors code but also generates system sequence diagrams, ER diagrams, database tables, batch‑processes files, and even creates release plans. It supports various stages of software development—from system analysis to coding, testing and deployment—helping teams complete tasks more efficiently.

3. Best Practices

3.1 Cursor Capabilities

3.1.1 Generate Sequence Diagram

Provide a system interaction description, and Cursor generates a sequence diagram.

3.1.2 Generate ER Diagram

Copy classes with dependencies into Cursor to generate an ER class diagram.

3.1.3 Generate Release Plan

Enter the content and format of a release plan, and Cursor produces it.

3.1.4 Code Refactoring

Copy the code to be optimized into Cursor, select it, and issue a refactor command.

3.1.5 SQL Query Optimization

Input table schema and target SQL, then ask Cursor to optimize the query.

3.1.6 Generate DDL/DML

Describe table fields and contents clearly, and Cursor generates the corresponding DDL/DML statements.

3.1.7 Batch File Processing

Cursor can perform batch operations such as finding and replacing values or adding a new column to each line.

4. IDE + Copilot

4.1 Java Template + Copilot for Quick Code Review

Configure review questions in a Java LiveTemplate, assign a shortcut (e.g., crBug), and trigger the template to generate review prompts.

5. Iteration Stage Best Practices

5.1 System Design Phase

Use Cursor to generate sequence diagrams and ER class diagrams from requirements.

5.2 Coding Phase

5.2.1 Function‑Level Generation

Copilot can generate common utility functions such as date comparison or string validation.

5.2.2 Logic‑Block Generation

Cursor can quickly generate enums, DTO models, and complete Stream expressions based on comments.

5.3 Code Review (CR) Phase

Copilot can detect some logical defects and suggest fixes, though accuracy varies. Cursor generally provides higher‑accuracy defect analysis and remediation suggestions.

5.4 Unit Test (UT) Phase

5.4.1 Generate Unit Tests with Copilot

By writing a comment like “generate unit tests for method X covering all branches”, Copilot produces test code, though the generated code may need manual adjustments.

5.4.2 Generate Unit Tests with Cursor

In the chat interface, ask Cursor to generate a test class for a target method.

5.5 Release Phase

Cursor can generate a release plan in table format when prompted.

6. Copilot Tips

Copilot assists coding but does not replace developers.

Write clear comments to maximize its usefulness.

Break large methods into smaller ones to improve Copilot’s suggestions.

Provide sufficient context; include type information in comments when needed.

Split complex logic into multiple comment blocks for better generation.

7. Shortcut Keys

Accept suggestion: Tab

Reject suggestion: Esc

Accept word‑level suggestion: Alt/Option + Enter

Next suggestion: Alt/Option + ]

Previous suggestion: Alt/Option + [

8. Efficiency Analysis

Team usage statistics show Copilot’s adoption rates and estimated efficiency gains across stages (coding, code review, performance analysis, unit testing, etc.). Cursor shows similar gains, especially in diagram generation, logical analysis, and test case creation.