AI code, verified.

Trust every line of AI-generated code.

AI accelerates how fast code gets written, not how fast you can trust it. Sonar verifies every change against your quality and security standards, human or AI.

ai produces code
TRUSTED BY OVER 7M DEVELOPERS WORLDWIDE
Mercedes Benz
Nvidia
Santander
hidden challenges

AI-generated code introduces hidden challenges

secure

Unvetted quality

false positive

False security

checklist

Dependency risks

code merge

Code accountability

Purpose built

Purpose-built for Agent Centric Development

Five capabilities that plug into your AI coding workflow, from the first prompt through generation, review, security, and remediation.

Sonar Vortex

Guides agents with project context and verifies every change in real time, inside the coding loop.

  • Full project context, not just one file — Uses cached data from your previous CI builds to understand how your entire codebase connects. Catches cross-file bugs that single-file checkers miss.
  • Your standards, automatically applied — No new rules to define. Vortex uses the quality profiles your team already enforces in SonarQube, across every AI tool on the team.
  • One standard across every AI tool — One verification standard for every AI coding tool your team uses. Consistent code quality no matter which assistant a developer picks.
Guide Verify Solve
Inside the agent's coding loop

Gitar AI Code Review

Reviews every pull request, generates real fixes, and iterates until CI passes.

  • Full codebase context, not just the diff — Reads each PR against the full structure of your project, identifying cross-file bugs, security vulnerabilities, and logic errors that require broader context to catch.
  • CI failure classification — Classifies CI failures as code-introduced, flaky, or infrastructure noise. It deduplicates and auto-retries flaky tests so developers get a clear, actionable signal on what actually requires a fix.
  • Commits only when the build passes — Generates an AI fix, runs it through your CI pipeline, and iterates until the build is green. No change is committed to the branch until CI passes.
  • Review policies in natural language — Define code review standards in natural language — no YAML, no scripts. Gitar AI code review enforces them automatically on every PR.
Gitar AI Code Review

SonarQube Remediation Agent

Burns down tech debt at scale by fixing your issue backlog, verifying every fix before it becomes a PR.

  • Accelerate cycle time — Slash the "waiting for review" tax. Turn red quality gates green in minutes, not hours, by letting the agent fix routine issues asynchronously.
  • Verified, not hallucinated — Every patch is verified against the Sonar analysis engine before it becomes a PR — only fixes that compile and pass your quality gates ever reach a reviewer.
  • Elevate code health — Tackle code smells and maintenance issues that tend to get deprioritized in human reviews — without waiting for a dedicated sprint.
  • Seamless integration — Integrated directly with GitHub Pull Requests and SonarQube Cloud Enterprise. No IDE plugins required.
Remediation Agent

SonarQube Hunter Agent

AI security agent that hunts broken access control, business logic, and authentication flaws.

  • Finds what scanners miss — Hunts broken access control, business logic, and authentication flaws, where the code looks valid but the intent is not.
  • Confirmed, not noise — Every suspected issue is validated before it surfaces, so you get high-precision findings, not a queue of false positives.
  • Lands in your workflow — Confirmed findings arrive in your SonarQube issue list, tagged and ready to triage, assign, and fix.
Issues 3 new
Raised by Hunter Agent

Scanning Scan complete
HIGH
Authorization bypass through user-controlled key
InvoiceController.java:141 CWE-639 Broken access control
HIGH
Session fixation on login
SessionManager.java:88 CWE-384 Auth & sessions
MED
No rate limit on upload endpoint
UploadService.java:52 CWE-770 Business logic

SonarQube MCP Server

Brings trusted SonarQube analysis into the AI tools and agents your team already uses.

  • Open, standards-based — Built on the Model Context Protocol (MCP). Any MCP-compatible agent or IDE can connect — Claude Code, Cursor, Copilot, Gemini, and beyond. No proprietary integration required.
  • Live access to findings — Agents can read real-time SonarQube issues for a repo, query specific rules, pull quality profile definitions, and see recent analysis results — grounded in your project's actual state, not guesses.
  • Grounded in your standards — Agents see the exact same rules and thresholds your CI enforces. The fixes and code they suggest are aligned with your quality profiles from the start — no post-hoc cleanup.
  • Zero developer friction — Install once. Agents pick up the capability automatically. Developers keep working with the AI tool of their choice — and the tool gets smarter about your code.
MCP Server

Prevent security and compliance vulnerabilities

Review AI-generated code

code has issues in development lifecycle

Secure, high-quality AI-generated code you can trust

Outcomes

What you get with Sonar's AI products

lightning

Consistent & Efficient

secure

Accurate & Repeatable

code merge

Auditable

Megaphone

Explainable

What Sonar users are saying

Trusted by 7M+ developers

We’re not just keeping quality high; we’re actually able to go faster… AI makes it easier to deliver velocity, but only if you provide the right context from tools like SonarQube.
Stephen Byrnes Distinguished Engineer Cisco
Overall I love the tool and I’m excited to dial up our usage, particularly as tools like Claude Code gain much wider adoption and we may be forced to reckon with the quality of what we’re creating.
Eliott Weiser Sr. Engineering Manager Sirius XM
With over 2,000 repos, manual enforcement isn’t feasible… now, every pull request automatically goes through quality gate checks, security analysis, and secret detection.
Pravien Sammandhankumar Head of DevOps Freshworks
The central verification platform is how we… avoid that trade-off [between speed and safety]. It keeps the checks early. It keeps them consistent, creates visibility so the devs can move quickly.
Abhay Sharma Head of Cloud and DevOps Australian Unity
As we move toward using AI tooling for code generation, it is reassuring to know that all our code is checked and scanned to provide a sanity check on the quantity of code being produced.
Sarah Burgess Lead Product Manager, Security Xero

Gartner® names Sonar a Magic Quadrant™ Leader

AI is generating code faster than teams can govern it. Sonar was named a Leader, and placed highest on Ability to Execute. We built the verification layer the AI development cycle actually needs.

Download the report
A G2 Leader for 6 years running
4.6 / 5

Verify every line of AI code, before it ships.

Integrate SonarQube into your workflow and stop verification debt at the source.