Build faster in an agentic world. Verify with confidence
AI coding assistants and agents are changing software engineering forever. More code is being generated at 10x human speed, meaning more changes are happening at once, and the responsibility has shifted to development teams to verify what is produced before it ships.
In the Agent Centric Development Cycle, the best solution is not one that simply finds bugs after the fact. It is an independent engine that helps teams verify code continuously, reduce noise, and enforce quality gates within the workflow. SonarQube is the industry standard for this reality, helping organizations reduce risk and maintain code security as AI increases development velocity
Why customers choose SonarQube
- Help developers catch and fix issues earlier.
- Reduce noise with industry's lowest false positive rate (less than 3%) to improve trust in findings
- Enforce security and quality with quality gates integrated directly into the workflow.
- Support modern, multi-language environments across 40+ languages and frameworks from a single platform
- Improve security by identifying vulnerabilities, secrets, and dependency risks without adding friction
- Scale securely as AI and agents increase code volume and change velocity.
Why SAST matters in an agentic world
Agentic workflows increase both speed and complexity. A single agent-driven task can drop massive, complex payloads of code that are 10x larger than traditional human pull requests. This creates a "verification debt" that makes late-stage review nearly impossible
- Catch issues early in the IDE, pull request, and pipeline to prevent small errors from compounding
- Reduce risk from fast-moving code changes before they become production outages.
- Maintain code quality and security together as AI produces verbose and often unreliable output.
- Provide actionable intelligence directly to developers instead of routing issues through a separate security console.
- Enforce standards continuously across all code, regardless of the source.
- Scale AI-assisted development with more confidence and less operational overhead.
Comparison table: SonarQube vs. other SAST tools
Customer outcomes
Reduce risk earlier
Identify vulnerabilities before they spread downstream across branches and releases.
Improve developer efficiency
Give teams actionable feedback in the flow of work so they can build better, faster.
Increase trust in tooling
High-signal, low-noise findings ensure developers take action instead of tuning out alerts
Simplify your toolchain
Consolidate code security and code quality into one independent platform.
Scale governance
Enforce standards on new code and improve over time without overwhelming teams with legacy backlog.
Support AI-driven development
Maintain control and auditability as agents increase software delivery speed.
SAST evaluation checklist
Developer experience
- Do developers get feedback directly in the IDE and pull request?
- Can developers understand the issue and apply an automated fix?
- Is the tool rooted in the community and trusted by millions of practitioners?
Signal and trust
- Are findings actionable, deterministic, and repeatable?
- Is the false positive rate low enough (under 4%) to prevent alert fatigue?
- Does the tool distinguish between new code and legacy backlog?
Workflow integration
- Does the tool fit naturally into Git, CI/CD, and agentic toolchains?
- Can it enforce quality gates before problematic code is merged?
- Does it support tool calling for agents via MCP?
Platform breadth
- Does it cover 40+ languages, including infrastructure as code?
- Can it help reduce reliance on multiple disconnected point solutions?
- Does it support both code security and architecture management?
Governance and scale
- Can you focus on improving new code without getting buried in historical backlog?
- Can the platform scale across more developers and projects without adding major cost or overhead?
- Will it help your organization govern AI-assisted and agentic development as these workflows expand?
When SonarQube is the right choice for SAST
SonarQube is the superior choice when your organization wants a solution that developers will adopt, security teams can trust, and platform engineering can scale. It is especially well suited for customers that want to move from reactive scanning to continuous verification, reduce friction between security and engineering, and build a foundational control layer for agentic software development.
Getting started with SonarQube
A successful rollout starts with focus. In the Agent Centric Development Cycle, SonarQube should be embedded wherever developers and agents generate, review, and verify code so teams can mitigate risk early and enforce standards continuously.
- Start with one high-impact repository and one agent workflow. Baseline code quality and security where developers and agents already produce meaningful code changes.
- Set an initial quality gate for new code only. Block only critical issues first to maintain high standards without overwhelming teams with historical technical debt.
- Embed verification where agents and developers work. Enable SonarQube for IDE, pull requests, and CLI workflows for actionable code intelligence during generation.
- Extend enforcement into CI/CD and agent pipelines. Apply the same rigorous standards to every change before code moves toward production.
Expand coverage and refine standards over time. Roll out across more repos, languages, and IaC, then tighten rules using real-world adoption data.
