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.
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-generated code introduces hidden challenges
Code quality and security challenges are being accelerated by AI-assisted development. AI-generated code can introduce bugs, vulnerabilities, and risky dependencies that slip past quick reviews. Automated reviews enforce your standards and keep issues from reaching production.
Unvetted quality
AI-generated code often prioritizes syntax over efficiency, increasing technical debt. SonarQube reviews code automatically and detects code smells and duplication so your codebase stays reliable.
False security
AI-written code is not inherently secure. Flaws expose applications to attacks. SonarQube detects vulnerabilities like SQL injection, deserialization, and XSS so code meets your security standards.
Dependency risks
AI-generated code often pulls in external libraries that can introduce vulnerabilities and supply-chain risk. SonarQube Advanced Security identifies and flags risky dependencies so you can mitigate the attack surface.
Code accountability
As AI tools write more code, teams often accept it without proper vetting. When defects reach production, ownership gets murky. Catching issues early keeps every change accountable to your quality and security standards.
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.
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.
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.
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.
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.
Review AI-generated code
- Guardrails for AI code
Automatic review of every line of code — AI-generated or human-written — to find bugs, vulnerabilities, and quality issues. - Customizable standards
Define and enforce your own quality and security rules and thresholds with SonarQube's quality gates. - Compliance for AI code
Finds issues in all code — including AI-generated — that don't meet compliance standards such as PCI, OWASP, CWE, STIG, and CASA. - Comprehensive languages
Supports 40+ programming languages so your quality and security standards stay consistent across every project.

What you get with Sonar's AI products
Outcomes teams care about: code you can trust, a process you can repeat, and results you can explain. Sonar delivers consistent, repeatable, explainable, accurate, transparent, and efficient outcomes — with deterministic analysis, zero-trust verification, and multi-layered checks as the engine behind them.
Consistent & Efficient
Every AI-generated change is reviewed against the same standards. Routine issues are caught automatically, so engineers focus on architecture and intent — not cleanup.
Accurate & Repeatable
Early validation improves reliability and reduces debug cycles. The same rules apply to every commit, every branch, every team.
Auditable
Every finding has a clear reason, a rule, and a suggested fix. Governance teams get auditable evidence that AI-generated code meets your standards.
Explainable
Contextual guidance makes every fix understandable to developers, reviewers, and auditors alike. Sonar solves verification debt — the gap between how fast AI writes code and how fast teams can trust it.
Your programming language, covered
Coverage for dozens of the most popular languages, frameworks and IaC platforms.
Trusted by 7M+ developers
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.
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.
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.
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.
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 reportVerify every line of AI code, before it ships.
Integrate SonarQube into your workflow and stop verification debt at the source.
