Gitar: reviews, fixes, and verifies your PRs until CI passes
Gitar is Sonar's AI code change verification agent for every pull request: it finds issues, commits the fix, and verifies your CI passes before anything merges, reinforced by SonarQube's deterministic analysis across your codebase.
What is AI code review?
AI code review uses AI to review every pull request before it merges. It examines the change in context, not just the code in isolation, for bugs, security issues, performance problems, and code quality. The goal is to verify that the change does what it claims, introduces no vulnerability or defect, and passes CI, so you ship with confidence at agentic volume.
AI code review that automatically fixes and verifies pull requests
AI code review tools exist because AI coding assistants now generate pull requests faster than teams, including open source maintainers, can review them. Gartner describes this as a review bottleneck: engineering teams generate dramatically more code without a matching increase in review capacity. Many code review tools stop at the comment. A tool that only leaves comments on a diff, as some code review tools do, doesn't close that gap: a developer still has to read the comment, apply the fix, and recommit by hand. Gitar closes it: it reviews the PR, generates the fix, commits it, and checks CI before calling the work done. Automatically.
Where AI code review fits alongside human review
AI code review does not replace a human reviewer's judgment about product intent, business risk, or team standards. What changes is what the reviewer sees by the time they open the pull request: instead of an unreviewed diff, they see one Gitar has already reviewed for logic, intent, and CI health, reinforced by SonarQube's deterministic rules running underneath it. The reviewer's job shifts from finding problems to confirming a change that's already been verified, which is where most of the time savings come from. A human stays in control of the merge decision, and automation.
Gitar reviews and verifies every PR
Gitar verifies every pull request, and SonarQube reinforces that review with deterministic analysis underneath it.
Gitar: reviews the change, fixes what it finds. Automatically.
Gitar reviews every pull request in context: repository conventions, the intent behind the change, and your CI results. It identifies issues, explains them, and generates a fix it can commit to the branch. When CI fails, Gitar diagnoses the root cause (separating a real break from a flaky test or infrastructure noise) and iterates until the build is green. Blocking a merge, approving a clean review, or enabling auto-merge are policies your team defines in plain language, and they stay inside your existing code review and branch-protection controls.
Reinforced by SonarQube
Underneath Gitar's review of the change, SonarQube runs independent, algorithmic static analysis (SAST) across your entire codebase, including AI code: syntax, data flow, architecture, and dependencies. It's the engine more than 7 million software developers and 22,000+ customers already trust to gate their code, applying the same rules the same way every time and catching issues outside the diff that a contextual, change-scoped reviewer alone might not reach. SonarQube sets the standard; Gitar enforces it at merge speed. An AI PR reviewer judging AI-generated code isn't independent verification on its own: it's one model checking another. That's what makes Gitar's verification of the code change, reinforced by SonarQube's deterministic analysis, a zero-trust, multilayered verification standard rather than a single opinion on the diff.
Gitar keeps going, all the way to merge
How to evaluate AI code review tools
Most AI code review tools look similar from a feature list. The differences that matter show up once your pull requests are running through them at volume. Use these seven criteria to evaluate any AI code review tool, including Gitar.
| AI code review criterion | The review question to ask | How Gitar answers it, reinforced by SonarQube |
|---|---|---|
| Context | Does it understand your repository, not just the diff? | Gitar reviews with awareness of repository conventions and the intent behind a change. On the Enterprise plan, Cross-Repo Analysis checks a pull request against every other repository in the organization (routes, wire fields, enum values, error codes, database columns, and published contracts), not only the lines that changed. |
| Security depth | Does it find issues a language model would miss on its own? | Gitar reviews the change itself for logic, intent, and injected risk. SonarQube reinforces it with SAST and taint analysis that trace data flow across the whole codebase against OWASP, CWE, and PCI: the kind of cross-file vulnerability a model reviewing an isolated diff has no way to see. |
| Deterministic verification | Is there a non-AI layer confirming the AI's own output? | Gitar's contextual review of the change is reinforced by SonarQube's deterministic static analysis: the same code produces the same result every time, independent of whichever model wrote or reviewed it. An AI model checking another model's code is not independent verification on its own. |
| Signal-to-noise | How much of what it flags is actually worth a developer's time? | Gitar is tuned to minimize false positives and resolves issues as it fixes them rather than leaving resolved threads open. Risk Triage is available on every Gitar plan and every supported code host. |
| Workflow fit | Does it run where your team already ships code? | Gitar reviews pull requests on GitHub, GitLab, Bitbucket, and Azure DevOps, with CI integrations across GitHub Actions, GitLab Pipelines, CircleCI, Buildkite, Bitrise, Jenkins, Harness, and JetBrains TeamCity. |
| Governance | Can you enforce your own rules, and prove it after the fact? | Gitar lets you define repository rules in plain language (no scripts or YAML) with policy-driven merge blocking and an audited trail. Gitar is SOC 2 Type II, ISO 27001, and GDPR verified, with zero data retention. |
| Remediation validation | When it generates a fix, does anything confirm the fix actually works? | Gitar checks the project's own CI before calling a fix done. A green build is the exit condition, not a suggestion left for a developer to apply and test by hand. |
GitHub pull requests & open source
AI code review for GitHub pull requests
Gitar reviews pull requests directly on GitHub (along with GitLab, Bitbucket, and Azure DevOps), appearing as status checks and inline comments on the PR you already have open. Issues get flagged, fixes get committed, and CI status gets reported without leaving GitHub, reinforced by SonarQube's quality gate running against the same repository.
AI code review for open-source projects
Gitar is free for open source: the full Pro feature set for 14 days, then the Free plan forever, with no seat limits, on public repositories under an OSI-approved license. Pair it with SonarQube's free plan for open-source projects and maintainers get both verification layers at no cost.
Integrations & workflow
DevOps
Gitar brings pull request review into your existing DevOps workflow, diagnosing CI failures and committing fixes without adding a separate process to maintain, reinforced by SonarQube's policy-driven quality gates for consistent feedback on vulnerabilities and defects across the codebase.
Dashboards, reporting, and collaboration
Track Gitar's pull request review metrics (resolution rate by severity, author, and repository, and CI diagnosis outcomes) alongside SonarQube's reliability, security, and maintainability trends, in one place, so teams can see where review time is actually going.
What is AI code review?
AI code review is the use of AI to automatically review pull requests for bugs, security issues, performance problems and code quality, whether the code was written by a developer or an AI agent. As agents push PR volume past what human reviewers can handle, AI code review becomes the quality gate that keeps the software factory moving.
What should I look for in an AI code review tool?
Evaluate context, security depth, deterministic verification, signal to-noise, workflow fit, governance, and remediation validation.
How is this different from an AI PR reviewer that only leaves comments?
Comment-only tools stop at telling you what's wrong; Gitar generates a fix, commits it, and checks CI before calling it done: the developer isn't the one closing the loop.
How does Gitar review a pull request?
Gitar reviews the change in context (repository conventions, the intent behind it, and your CI results), then generates a fix it can commit to the branch, reinforced by SonarQube's deterministic analysis of the codebase underneath.
Does Gitar fix issues automatically, or just flag them?
Both, depending on how you configure it: Gitar identifies and explains issues, generates a fix, and can commit it to the branch; blocking, approving, and auto-merge are policies your team defines and stay inside your review controls.
Do I need both Gitar and SonarQube?
They work as two layers. Gitar reviews and fixes the change in context; SonarQube applies deterministic static analysis across the whole codebase. Each reinforces the other, and neither relies on a single model's opinion.
Does AI code review reduce false positives?
Gitar is tuned to minimize false positives and resolves issues as it fixes them, with Risk Triage available on every plan and every supported code host; SonarQube's deterministic analysis applies the same rule the same way every time rather than guessing.
Can it catch security vulnerabilities in AI-generated code?
Yes, Gitar reviews the change for logic and injected risk, reinforced by SonarQube's SAST and taint analysis, which check AI-generated code against OWASP, CWE, PCI, STIG, and CASA independent of the model that wrote it.
Does Gitar work with GitHub pull requests?
Yes, Gitar supports GitHub, along with GitLab, Bitbucket, and Azure DevOps. Reviews run as checks and inline comments on the PR itself.
Is there a free option for open-source projects?
Yes, Gitar's full Pro feature set free for 14 days, then free forever for public repos under an OSI-approved license, no seat limits.
Does AI code review replace human code review?
No, it changes what the human reviewer sees by the time they open the PR: a change Gitar has already reviewed against your standards, not an unreviewed diff.