Update — March 2026: This article was originally published on March 3rd, 2026, when we launched the closed beta of SonarQube Agentic Analysis for Enterprise customers. We are now announcing the open beta—expanding access to all SonarQube Cloud Teams and Enterprise plan customers.
TL;DR overview
- SonarQube Agentic Analysis is a beta service that brings trusted SonarQube analysis directly into AI coding agents' workflows, enabling agents to verify code in real time as it is generated.
- Integrated via the SonarQube MCP Server, the agent can "ask" SonarQube to check its work—catching security risks and logic errors before a developer ever reviews a pull request.
- The service automatically applies existing SonarQube quality profiles to AI-generated code, removing the need to manually teach agents company-specific rules.
- Currently available for SonarQube Cloud Enterprise Plan users, supporting Java, JavaScript/TypeScript, and Python, with .NET, C/C++, secrets detection, and IaC domains coming soon.
The agentic era needs a new development cycle
AI agents are generating code faster than the processes built to govern it. Speed without guardrails creates risk — and code that isn't reliable, secure, and maintainable is a liability regardless of who wrote it.
To address this, Sonar introduced the Agent Centric Development Cycle (AC/DC) — a framework built for the age of AI, with four continuous stages: Guide → Generate → Verify → Solve. The SonarQube Agentic Analysis is Sonar's solution to the Verify stage.
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.
Get started with the open beta
The SonarQube Agentic Analysis is now available for SonarQube Cloud Teams and Enterprise accounts. During the beta phase, it is free to use (no sign-up or waitlist required)
During this phase, the service supports the following languages:
- Java, JavaScript/TypeScript, Python, .NET, and C/C++
- 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.
Enable it from your SonarQube Cloud settings
