AI coding agents like Cursor and Claude Code have fundamentally changed how software is being developed. While these assistants generate code at high speeds, they often lack the specific context of your project requirements and security standards. This leads to a common problem: an AI writes code quickly, only for a developer to find out hours later—during a pull request that the PR is blocked due to a quality gate failure.

Today, we are announcing the beta availability of SonarQube Agentic Analysis. This service brings trusted SonarQube analysis directly into the AI's workflow so the coding agents can verify their work as code is created.

How SonarQube Agentic Analysis works

Agentic Analysis connects your AI coding tool to SonarQube’s systematic analysis engine used in your final code reviews. Integrated within the SonarQube MCP Server, your AI agent can now "ask" SonarQube to check its work in real-time.

If the AI suggests code that is functional but contains a security risk or a logic error, Agentic Analysis identifies that mistake quickly. This allows the agent to see its own error and fix it before a human developer  reviews it.

Why Agentic Analysis matters

• Fix mistakes at the source: Instead of a developer finding errors in a Pull Request hours after they were written, the AI finds and corrects its own mistakes while it is still writing.
• Beyond basic checkers: Standard code checkers (linters) usually look at only one file at a time, missing bugs that require an understanding of the wider codebase. Agentic Analysis uses full project context to find these deeper issues.
• Automatic standards: You don’t have to manually teach every AI agent your company's specific coding rules. Agentic Analysis automatically applies your existing SonarQube quality profiles to the AI’s work.
• Stay in the flow: Developers can spend their time solving problems and reviewing logic, rather than acting as manual gatekeepers who have to fix AI generated issues.

Beta scope and availability

The beta for Agentic Analysis is currently available for SonarQube Cloud Enterprise Plan users. During this phase, the service supports the following languages:

• Java, JavaScript/TypeScript, Python, with .NET, and C/C++to follow in the next few weeks
• Additional coverage: Secrets detection and IaC domains (Docker, Kubernetes, Terraform)

Our goal is to ensure that the productivity improvements that AI promises aren’t hindered by discovering issues late in the process when they take more time to fix. .

Ready to participate?

Please contact us with your SonarQube Cloud enterprise organization id to join the beta, or check out the Analysis for Agents documentation.