Vibe, then verify
While AI can generate code in seconds, the human-powered process of verifying it for quality, security, and maintainability can't keep up. Sonar bridges this gap, enabling your team to "vibe, then verify”, fueling AI-enabled development while building trust into every line of code.
TRUSTED BY OVER 7M DEVELOPERS WORLDWIDE
"IDC research indicates that 70% of developers using GenAI code assistants need to remediate as much as 40% of that generated code. This challenge makes releases such as Sonar’s even more important, underscoring needed capabilities and interactions across security and quality teams."
Melinda-Carol Ballou, Research Director
AI, then verify
Sonar resolves the engineering productivity paradox by automating verification of all code. Our solution empowers your team to fully leverage AI coding tools with confidence, ensuring that speed and quality advance together.
Analyze code in the IDE
Sonar’s in-IDE analysis works alongside AI assistants, flagging issues in real time and helping developers fix problems with contextual guidance and automated suggestions.
Standards in the workflow
Integrated into your DevOps platform, Sonar automatically scans pull requests and prevents substandard code from being merged and deployed.
Gain visibility and control
Dashboards provide leaders with a high-level view of code health and security across teams and projects, making it easy to track the impact of AI adoption and ensure governance standards are met.
Solving the Engineering Productivity Paradox
Sonar CEO, Tariq Shaukat, shares how AI-generated code absolutely must be reviewed before it's merged into your codebase, and how SonarQube can help.
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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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The State of Code
In this four-part series, discover the most common and critical issues lurking in your codebases and what you can do to fix them before they impact production.
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The Coding Personalities of Leading LLMs
Explore the habits, blind spots, and archetypes of the top five LLMs to uncover the critical risks each brings to your codebase.
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