Discover issues from the moment you write code
The best place to find and fix issues? Right in your IDE, with on-the-fly optimized feedback on issues that can lead to bugs, security issues, code smells, and other problems.
Sonar helps development teams fuel AI-enabled development and build trust into every line of code.
TRUSTED BY OVER 7M DEVELOPERS WORLDWIDE
For over five continuous years, Sonar has been ranked first in Static Code Analysis on the G2 Grid.
120+ G2 Reviews
Ensure all code—AI-generated or human-written—meets the highest standards.
Detect security risks, both within your code and from open source.
Fix issues quickly and modernize your older code with AI.
Protect your next-gen SDLC with trusted monitors and controls.
Integrate SonarQube Cloud with your cloud DevOps platform to ensure code quality and code security, maintain high standards, and protect your code from vulnerabilities.
Ensure code quality and code security meet high standards early, before reaching production. Integrates into your enterprise DevOps environment to easily find and fix coding issues within your current workflow.
Up your coding game and find issues early. SonarQube for IDE takes linting to another level, empowering you to prevent issues as you code, no matter what languages or tools you use.
The best place to find and fix issues? Right in your IDE, with on-the-fly optimized feedback on issues that can lead to bugs, security issues, code smells, and other problems.
“SonarQube has significantly impacted our code coverage, security gating, effective & deep security & quality scans with effective vulnerability remediation guidance”
Geoff Hughes, Senior Manager
Geoff Hughes, Senior Manager
“SonarQube has significantly impacted our code coverage, security gating, effective & deep security & quality scans with effective vulnerability remediation guidance”
Resources and news

This latest LTA is our most significant leap forward to date. It is designed specifically for the AI-native developer workflow to help your software development teams reach their full potential by closing the code verification gap, ensuring every line of code is secure, healthy and production-ready.
Read article >

In the third chapter of the report, we examine the tools developers are choosing to get the job done. The data reveals a fragmented landscape where standard corporate toolkits are competing with a massive wave of "bring your own AI" adoption.
Read article >

When evaluating a new AI model, ensuring the code compiles and executes is only the baseline. Experienced developers know that functionality is just the first step; the true standard for production-ready software is code that is reliable, maintainable, and secure.
Read article >







