Gitar is the code change verification agent for teams shipping at agentic volume and velocity. High-signal review, CI failures diagnosed, fixes applied under your supervision, and proof every change passes your CI - so you can merge with confidence.
AI has removed the constraint on writing code. It has not removed the constraint on trusting it. Review queues lengthen, CI gets noisier, and the gap between "the code exists" and "the code ships" is now where your velocity goes to die. Verification is the new bottleneck.
Review is the first step, not the whole job. Gitar takes a change from opened to merge-ready - and shows you the proof.
Gitar is tuned to flag issues that are real. Fewer false positives means a higher fix rate, less review fatigue, and fewer tokens spent chasing problems that were never there. One consolidated comment, inline only where it matters.
Gitar reads your pipeline and separates real breakage from flaky tests and infrastructure noise. It de-duplicates failures and root-causes what actually went wrong, so nobody loses an afternoon to logs.
When Gitar finds a problem it generates a real fix and commits it to the branch, within the rules you define. You decide what it can fix, what it must escalate, and what blocks a merge.
Gitar iterates until your CI passes, then commits only on green. A passing pipeline you didn't have to babysit is the deliverable.
Gitar analytics dashboards show how your review and CI process is actually performing: time to merge, failure patterns, fix rates, where the friction is — so you can improve it quarter over quarter.
Define what Gitar reviews, what it may fix, what blocks a merge, and when it can approve. Rules live in your repo as natural language, versioned alongside your code. No bespoke scripting, no plugin sprawl.
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Your coding agents don't slow down for review. Gitar reviews, fixes and verifies at the same rate the code arrives, so agentic output reaches production verified rather than merged on faith.
Fixed all CI failures: clippy warnings, test assertions for new header format, and structured_links count mismatches across 4 jobs. One additional test case missed in first round.
Gitar doesn't replace your pipeline - it reads it. Connect your repos and CI in minutes and keep every runner, job and gate exactly where it is.
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GitLab
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Azure DevOps
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Seamless scalability with enterprise-grade control, compliance, and performance. Purpose-built for modern development at global scale.
The Enterprise plan is built to scale — from a 5-person startup to the world's largest engineering organizations — without rate limits or degraded performance. Enterprise pricing is outcome-based and charged per PR: you pay for results, not seats, with unlimited iterations per PR and full feature access.
Gitar does not retain source code, never uses your code to train models, and holds zero data retention agreements with all LLM providers.
Gitar analytics dashboards give platform teams a view across every repo: time to merge, review cycle length, CI failure patterns, flake rates, and how much of the fix work Gitar absorbed. Report the trend, not the anecdote.
Gitar is a code change verification agent. It reviews every pull request with full context of your codebase and team conventions, and it is tuned for signal - flagging issues that are real rather than burying the PR in comments to tune out later.
When it finds a problem it doesn't just comment. It generates a real fix, commits it to the branch, monitors your CI, root-causes any failures - separating genuine breakage from flaky tests and infrastructure noise - and iterates until the pipeline is green. All of it under rules you define, with human supervision wherever you want it.
The result is a reviewed, fixed and verified change, ready to merge. Don't just review. Ship.
Verification is the new bottleneck. Writing code stopped being the constraint the moment agents started doing it; the constraint moved to everything between "the change exists" and "the change is safe to ship" - review, CI, failure triage, rework.
Teams use it to ship faster without trading away quality, and to free their best engineers from reviewing every pull request.
They are designed to complement each other. SonarQube provides structured, consistent, algorithmic review across 40+ languages, covering code quality, security vulnerabilities, architectural drift, and technical debt. It is fast, auditable, and operates in a zero-trust way with respect to LLMs. It does not assume AI-generated code is correct, and verifies it against defined quality profiles and gates regardless of how the code was written.
Gitar works alongside SonarQube and brings AI-native intelligence to the entire verification workflow. It reads code the way AI reads it, with awareness of context, intent, and the logic of the change as a whole, extending coverage to functional bugs, logic errors, and behavioral issues by reviewing what the code is actually trying to do.
Together, the combination is greater than the sum of its parts. SonarQube's deterministic precision and Gitar's contextual intelligence reinforce each other. Issues one approach catches inform the other, and the coverage they provide jointly closes gaps neither could alone. A CI pass alone does not mean code is production-safe. Layering both approaches means more of what matters gets caught before it ships. No other platform combines multilayered, deterministic-first verification with agentic AI code review in one stack.
No. Gitar and SonarQube bring different review lenses to the same codebase. SonarQube uses deterministic analysis to verify code against a wide range of known issues: security vulnerabilities, reliability problems, maintainability concerns, and architectural drift. It does this looking at data flows, control flows, syntax, and a range of other topics. On top of that, it applies defined quality profiles and gates consistently to every change, ensuring you can enforce your standards in your codebases. Gitar uses generative AI to review the logic and intent of the change in context, extending coverage to functional and behavioral issues that emerge from understanding what the code is trying to do.
The two are additive and complementary. Used together, they provide deeper and more accurate review than either delivers alone, covering both the known issue catalog that deterministic analysis excels at and the context-dependent logic that AI review is built for.
When a pull or merge request is opened, Gitar automatically reviews the code and posts inline review comments along with suggested fixes. If CI fails, it analyzes and root causes the failures, and suggests a fix, which it can commit automatically or on demand. You can interact with Gitar directly to ask questions and request changes. You can also configure it to automatically manage the PR life cycle including blocking on issues, iteratively fixing issues until green, approving, and merging. Gitar also runs any custom checks and automations, integrating with Jira, Linear, Slack, and other common developer tools.
Throughout, Gitar reports back through its analytics dashboards, so you can see how review and CI are performing across every repo, not just on this PR.
Gitar supports GitHub, GitLab, Bitbucket and Azure DevOps for code review and version control, including various self-hosted instances. For CI, GitHub Actions and GitLab Pipelines, CircleCI, Buildkite, Bitrise, Harness, TeamCity and Jenkins.
Yes. Gitar does not retain source code, and your code is never used to train AI models. Gitar has no training and zero data retention agreements with all our LLM providers. As an option, you can bring your own Anthropic LLM API key. Gitar is SOC 2 certified, ISO 27001 certified, and GDPR verified.
Gitar is available in three plans: Core at $20 per user per month, Pro at $40 per user per month, and Enterprise at custom pricing. A 14-day free trial of the Pro plan is available with no credit card required. For a full breakdown of what each plan includes, see the pricing page on our Gitar pricing page.
Nothing changes in how Gitar works today. Your existing integrations, CI connections, and configurations remain in place. Over time, Sonar will deepen the integration between Gitar and SonarQube, giving you a more complete view of code quality, security, and review status in one place. If you have questions about your account, contact support.
Two differences. First, signal. Every false positive is a token spent and a fix attempt that risks an unintended change to working code. Gitar is tuned for precision, and posts one consolidated comment with inline notes only where they matter. Second, completion. Gitar doesn't stop at the comment - it fixes, runs your CI, diagnoses failures, and iterates until the pipeline is green.
Gitar does the work of getting the change through: it generates the fix, commits it, runs your pipeline, and iterates until CI passes. With Gitar, fix-and-verify is generally available on every plan. Full comparison
Gitar has been a big help maintaining our OpenMetadata open-source repo. Its reviews are consistently actionable and relevant — not generic bot feedback — catching real bugs and security issues reviewers might have missed.
Gitar has dramatically shortened our time to merge in mobile CI by quickly identifying CI failures and providing insightful AI-powered remediations. Our engineers love taking action directly on their MRs.
What stood out about Gitar right away was how little noise it adds to GitHub. It doesn't clutter pull requests with generic bot comments — its feedback is accurate, relevant, and worth acting on.
Gitar provides top-tier code reviews for our team of 130+ engineers across 1,100+ repos. I feel confident in the merged code thanks to its comprehensive analysis, and the team goes the extra mile.
Gitar is the newest hire for our eng team! It gains context quickly, provides insightful feedback, and caught breaking bugs within its first week. I'd highly recommend it to any team leveling up code reviews.
We haven't found a single invalid comment on our PRs. The quality is remarkably consistent — every suggestion is grounded in the actual code context, not a generic pattern match.