A VS Code extension powered by AI that seamlessly integrates SonarQube analysis with GitHub Copilot to identify and resolve code quality issues in Java projects, enforce custom centralized Copilot guidelines, and automate pull request creation
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
Sonar Copilot Assistant is a professional VS Code extension that optimizes the software development lifecycle by seamlessly integrating SonarQube, Git, GitHub Copilot, and automated testing tools. It accelerates coding, review, testing, and maintenance phases, enhancing code quality and developer efficiency.
⚙️ Installation & Setup
Step 1: Install Extension
Open VS Code.
Navigate to Extensions (Ctrl+Shift+X).
Search for "Sonar Copilot Assistant".
Click Install and reload VS Code.
Step 2: Configure SonarQube
Click the Sonar Copilot Assistant icon in the Activity Bar.
Select Server Configuration.
Provide the following details:
Server URL: e.g., https://sonarcloud.io
Project Key: Java project key from SonarQube
Token: SonarQube authentication token
Click Test Connection → Save Configuration
Note: Ensure your SonarQube project is configured for Java analysis.
Step 3: GitHub Integration
Go to Git → Access Token in the sidebar.
Configure:
API URL: https://api.github.com or your Enterprise URL
Personal Access Token: Must have repo and user scopes
Click Verify Token → Save Configuration
Step 4: Configure Team Guidelines (Optional)
Click Copilot Guidelines in the sidebar.
Select one of the options:
Default Guidelines: Built-in best practices
Git URL: Centralized team guidelines repository
Local File: Organization-specific guidelines file
🛠 Workflow Overview
Configuration
Connect to SonarQube via API and token.
Set up custom Copilot guidelines.
Configure Git authentication.
Git Branch Creation
Create branches using UI to track issue fixes and PR process.
Issue Management
Fetch and display SonarQube issues.
Filter issues by severity, author, rule, and file.
Smart Fix & Copilot Integration
Select single or multiple issues to fix.
Use Fix or Fix All to generate context for Copilot.
Copilot applies fixes according to configured guidelines.
Auto Training Copilot
Document approved fixes automatically.
Copilot learns to resolve similar issues in future iterations.
Test Verification & PR Process
Run unit tests and coverage using Maven, JUnit, Python diff-cover.
Ensure no functional or coverage breaks.
UI-driven Git commit and PR creation.
🧰 Tools & Technologies
VS Code Extension
TypeScript
HTML/CSS Webviews
SonarQube
GitHub Copilot
Test Tools: Maven, JUnit, Python diff-cover
Git Integration
Authentication: Git & SonarQube
⚡ Smart Fix Functionalities
1. Fix Single Issue
Focused fix for one specific issue.
Triggered via individual Fix button.
2. Fix All Issues in a File
Fix all issues within a single file.
Triggered via file filter + Fix All.
3. Fix All Issues by Rule
Fix all occurrences of a rule across files.
Triggered via rule filter + Fix All.
4. Custom Selection Fix
Fix selected issues across multiple rules/files.
Triggered via manual selection + Fix All.
📊 Performance Analysis
Standard Copilot Process
🌐 SonarQube UI Navigation → 1 min
🔍 Issue Analysis → 1-5 min
💻 IDE Navigation → 30 sec - 1 min
💬 Manual Copilot Explanation → 1 min
🤖 AI Fix Generation → 20 sec - 5 min
👀 Review & Apply Fix → 10 sec - 2 min
✅ Run Tests (optional) → 5-7 min
🌿 Git Branch + Commit + PR → 3-5 min
-------------------------------------------
BEST CASE: 11 min 40 sec
WORST CASE: 26 min
Sonar Copilot Assistant Process
🚀 Open Extension Dashboard → 20 sec
📊 Scan & View Issues → 5-15 sec
🎯 Select Issue → 10-30 sec
🔥 One-Click Fix → 3-5 sec
🤖 AI Fix Generation → 20 sec - 5 min
📝 Auto-Document Methodology → 0-1 min
👀 Review & Apply Fix → 10 sec - 2 min
✅ Run Tests (optional) → 4-6 min
🌿 Auto Git Operations → 1 min
📋 Guidelines PR (if needed) → 0-2 min
-------------------------------------------
BEST CASE: 7 min 8 sec
WORST CASE: 18 min 20 sec
✅ Quality Improvements
Zero context switching between tools.
Consistent fix patterns across the team.
Automated documentation of fix methodologies.
Built-in testing validation before deployment.
Standardized workflows reduce learning curve.
🔑 Key Efficiency Factors
Elimination of manual navigation between SonarQube and IDE.
One-click fix initiation vs manual explanation.
Automated Git operations vs manual branch/PR creation.
Centralized guidelines ensure consistent AI behavior.
Batch processing capabilities for multiple issues.