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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.

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Image for Get up and running with Sonar Context Augmentation and GitHub Copilot in VS Code
Step-by-step guide

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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How-to-guide

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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Step-by-step guide

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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Definition and guide

What is the Agentic SDLC? How AI Agents are reshaping software development

AI coding agents are reshaping the SDLC. Learn the benefits, risks, and how to manage code quality, security, and verification in agentic workflows.

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Step-by-step guide

Get started with SonarQube MCP Server and Gemini Code Assist agent mode

Connect Gemini Code Assist with SonarQube Cloud MCP Server to scan, fix, and enforce code quality and security before review.

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Definition and guide

What is software quality?

Learn why software quality matters in the AI era, from structural health and usability to metrics, static code analysis, and technical debt control.

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