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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.
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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.
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Get started managing your architecture with SonarQube
Analyze your codebase structure with SonarQube Cloud. Identify dependencies and improve code maintainability.
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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.
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A buyer’s guide to code quality and security in the age of AI and agentic development
This guide outlines the evaluation criteria buyers should use to select a code quality and security platform that can reduce risk, earn developer adoption, and scale across the full software development lifecycle in the age of agentic development.
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Get started with SonarQube Agentic Analysis in VS Code with GitHub Copilot
Integrate SonarQube Cloud with VS Code and Copilot for automated code verification. Analyze changes, remediate issues, and ensure secure coding before commits.
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