Vibe, then verify
Ensure code quality and security in the era of AI. Despite widespread adoption, 96% of developers don't fully trust AI-generated code—yet less than half consistently verify the output. Download the report to see how this gap is creating new technical debt and what engineering teams are doing to regain control.
TRUSTED BY OVER 7M DEVELOPERS WORLDWIDE
Risks of AI-generated code
AI coding tools are exponentially increasing the quantity of code being created. This code will be more difficult to manage, and strain the review bandwidth of the developers accountable for its quality. The gap between them is the engineering productivity paradox.
Mind the gap
AI accelerates coding speed, but engineer time to verify it is limited. This gap limits productivity and adds risk.
Lack of trust in AI code
Developers are often concerned about the stability and security of AI-generated code, especially if it’s complex or unfamiliar.
Hidden security flaws
AI models can introduce subtle security vulnerabilities or hard-to-detect errors that expose your organization to risk.
Inconsistent standards
Ensuring that AI-generated code consistently follows your team’s coding standards and best practices is a major challenge.
Developer Survey report
Based on our survey of over 1,100 developers, our newest State of Code report shows that SonarQube users report stronger ROI on AI coding. This suggests that real productivity comes from speeding up the entire development lifecycle by effectively integrating "vibe" (generation) with a robust "verify" step.
Vibe check: What our developer survey uncovered
“SonarQube’s ability to analyze all code — whether first-party, AI-generated or open source — helps developers take ownership of code bases regardless of where code is coming from.”
451 Research report from S&P Global Market Intelligence
Why choose SonarQube for secure, verified AI coding?
Complete assurance of AI code
We are the only solution that can integrate analysis of quality and security for AI-generated code.
Widespread adoption
Deploy a solution for AI code assurance that is trusted by over 7 million developers worldwide.
See it in action
Take a tour of Sonar AI Code Assurance
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.
Resources
Vibe, then verify: How to navigate the risks of AI-generated code
AI is rewriting the traditional software development playbook. Developers are adopting AI on the ground, output is exploding, and leaders are being asked to convert promise into predictable velocity.
Read more >
The inevitable rise of poor code quality in AI-accelerated codebases
The adoption of Large Language Models (LLMs) and AI coding assistants has radically accelerated the development lifecycle, offering the potential for developers to achieve up to a 55% increase in productivity and complete tasks twice as fast.
Read more >
Announcing SonarQube MCP Server
AI is transforming software development and turbocharging many aspects of a developer's daily work. But it’s also bringing new challenges to your teams
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