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.
全球超过700万开发者信赖
AI生成代码的风险
AI编码工具正使代码生成量呈指数级增长。这些代码将更难管理，并挤占负责代码质量的开发者审核带宽。二者之间的差距正是工程生产力悖论。
生产力悖论
AI加速了编码速度，但工程师验证代码的时间有限。这种差距限制了生产力并增加了风险。
对AI代码的信任缺失
开发者常担忧AI生成代码的稳定性与安全性，尤其面对复杂或陌生的代码时。
隐蔽的安全漏洞
AI模型可能引入微妙的安全隐患或难以检测的错误，使组织面临风险。
标准不一致
确保AI生成代码始终遵循团队编码规范与最佳实践是重大挑战。
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能分析所有代码——无论来自内部开发、AI生成还是开源项目——帮助开发者全面掌控代码库，不受代码来源限制。”
451 research
Why choose SonarQube for secure, verified AI coding?
AI代码的独特保障
我们是唯一能自动检测并深度分析AI生成代码的解决方案。
AI应用可视化
洞悉AI在组织中的使用方式，衡量其对代码质量与安全的影响。
无缝集成
无需额外配置，即可将您信赖的质量与安全标准同时应用于人工编写和AI生成的代码。
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
Read more >
