Developer insights
Unlock your next breakthrough
7 habits of highly effective AI coding
AI is transforming how we code, especially for massive company systems. Using AI responsibly—through automatic reviews and mandatory unit tests for AI-generated code—brings big benefits to your large codebases.
Software reliability in the AI era: Building trust into every line
AI coding speeds up development but creates verification risks. Learn how to build reliable, secure, production-ready software in the AI era.
Read article >
Configure Zed for Sonar Context Augmentation and Agentic Analysis
Explore a complete workflow for integrating Zed and SonarQube Cloud to guide code edits and verify quality with automated analysis tools.
Read article >
Set up Sonar Context Augmentation with GitHub Copilot CLI
Configure Sonar Context Augmentation for Copilot CLI so agents follow your project architecture and coding standards.
Read article >
LLM evaluation: A developer’s guide to reliable AI
A developer’s guide to LLM evaluation, from LLM-as-a-Judge to RAG metrics, CI integration, and production-ready AI workflows.
Read article >
Get started managing your architecture with SonarQube
Analyze your codebase structure with SonarQube Cloud. Identify dependencies and improve code maintainability.
Read article >
Get up and running with Sonar Context Augmentation and GitHub Copilot in VS Code
Set up Sonar Context Augmentation in VS Code so Copilot can generate code that follows your architecture and coding standards.
Read article >