Seeing the problem isn't the hard part anymore. Acting on it is. Both tools put AI agents to work on code review for developer written and AI-generated code on every pull request. The difference is how much work your developers still own before the PR is green and ready to merge.
Based on documented capabilities, September 2026.
Augment Code Review now runs on Cosmos, Augment's agentic software development platform. Cosmos coordinates a fleet of review agents, called Experts, that you set up and tune for your organization. The Gitar code verification agent is purpose-built for one job: taking a pull request from opened to green, under rules your team defines.
Gitar commits fixes and iterates against your own CI, using the history of earlier attempts, until the build is green, not assumed to be green.
Every false positive is a token spent and a fix attempt that risks an unintended change. Gitar is tuned for precision. Augment states that Cosmos is optimized for recall.
Gitar's review and CI diagnosis run as soon as it is installed. Cosmos asks you to assemble and tune a fleet of Experts.
Risk Triage rates what a change could break, not how urgently someone should look at it, and feeds your own approval and merge rules.
Gitar flags incompatible work across open pull requests and, on Enterprise, impacts on other repositories.
Flat per-user pricing with unlimited iterations per PR and no hard rate limits. Augment meters usage across LLM calls, a service fee, and compute.
Use this table to compare how each tool gathers context, acts on findings, and proves a change is safe to merge.
AST-informed navigation of the implementation, related files and callers, Knowledge learned from team review feedback with source citations, Cross-PR Analysis that flags conflicts with other open PRs, and Cross-Repo Analysis across code hosts (Enterprise).
Context Engine gives the review agent full-repository context, plus the PR diff, title, and description. Code Review Memory distills human feedback into per-repo knowledge. Enterprise adds MCP connections to Jira, Linear, and Notion.
Precision first. One summarized dashboard comment, inline comments only where they matter, and dismissed findings are not re-reported. Focused or Thorough depth per repository.
Recall first, by Augment’s own description: “exhaustive, no triage for brevity,” because output is written for an agent reader. Classic Code Review offers Thorough and Precise styles.
On-demand fixes on every plan: reply gitar fix or apply a suggestion with one click, and Gitar commits to the branch. Autonomous fix loop (Pro and Enterprise): fixes are pushed and iterated without a manual trigger, committing on green.
The PR Author Expert implements from a ticket, answers review comments, fixes CI failures, and resolves merge conflicts. Classic Code Review offers “Fix with Augment” to resolve issues in the IDE.
CI failure diagnosis on every plan: reads CI logs, finds the failing step and root cause, and separates real breakage from flaky or infrastructure noise. With the autonomous fix loop (Pro and Enterprise), Gitar iterates until CI passes or reports that it cannot make further progress.
PR Author fixes CI failures as part of its execution loop. Failure classification and supported CI systems are not described on Augment’s code review pages.
Risk Triage on every plan rates risk by consequence: a correct change to payment or authorization logic still comes back High, and that level feeds your rules (for example, approve only low or medium, merge only low). Auto-approve and merge blocking under natural-language rules (Pro and Enterprise). Functional Validation re-judges each objective of the linked Jira, Linear, Plane, or YouTrack issue on every push, so a PR cannot read as done because its scope shrank. All automated actions are opt-in.
PR Risk Analyzer auto-approves low-risk PRs and routes the rest by risk dimension. Pair Reviewer guides a human through design and risk decisions. Policy and escalation rules are configured through Cosmos Advisor.
Install on your code host and connect CI. Review and CI diagnosis run on the next PR.
Prompt Cosmos Advisor to build the review fleet, then customize each Expert. Cosmos is in public preview.
Code hosts include GitHub, GitLab, Bitbucket, and Azure DevOps, with self-hosted code hosting on Enterprise. CI diagnosis for GitHub Actions and GitLab Pipelines on every plan, with CircleCI, Buildkite, Bitrise, and more on Pro and Enterprise. Slack, Jira, and Linear on Pro and Enterprise. Support varies by plan and release; see the Gitar docs.
GitHub and GitLab listed for Cosmos. Jira, Linear, and Notion via MCP on Enterprise.
Verification analytics on every plan: resolution rate by severity, author, category, and repository, top CI failures, rule compliance, and tech debt trend. Cross-repo trends on Pro and Enterprise. Audit logs on Enterprise give an auditable trail for AI-assisted changes.
Usage analytics on all plans. Enterprise Code Review adds a dashboard of reviews performed and comments addressed.
Core $20 and Pro $40 per user per month billed annually ($25 and $50 monthly), up to 50 users, unlimited repos, unlimited iterations per PR, no hard rate limits. Enterprise: custom pricing, including per-PR options, unlimited users. Free for open source. 14-day free trial, no credit card. See Gitar pricing.
Standard $20/month and Business $100/month, up to 50 seats, with that amount of usage included. Usage covers LLM calls at provider list price, a flat 40% service fee on LLM usage, and Cosmos compute. Enterprise is custom.
No code or data retained after an agent run completes. Neither Gitar nor its LLM providers train on your code. Follows SOC 2 Type II and ISO 27001 standards. Bring your own LLM API key, SSO/SAML, and audit logs on Enterprise.
SOC 2 Type II, GDPR, CCPA, HIPAA with a BAA available. Audit logs and SIEM. CMEK and ISO 42001 on Enterprise. No AI training on paid plans.
Gitar plan details are from the Gitar pricing page. Augment details are from augmentcode.com and docs.augmentcode.com. Both reviewed October 2026; check current documentation before you decide.
Gitar runs the loop as one workflow. It reviews the PR, posts one summary with inline comments where they matter, commits fixes on request or automatically, reads the CI result, and tries again with the context of every earlier attempt. Your developers step in when Gitar asks a question or a rule requires a human. It is a verification agent your team governs, not one it babysits.
An AI reviewer that also writes fixes should not be the only judge of those fixes. Verification works best in layers, where each layer catches a class of problem the others miss. Whichever AI reviewer you choose, keep an independent check on what it produces. Run fixes through your own CI, gate merges on static analysis and security scanning, and measure how often an AI-authored fix is later reverted.
Start with your bottleneck. This is likely applicable to smaller teams and larger engineering organizations alike. If PRs wait because nobody has time to read them, any capable AI reviewer helps. If PRs wait because findings turn into rework, failing CI, and repeat review rounds, look for the tool that closes that loop.
Run both tools on the same set of real pull requests for two to four weeks. Include PRs with failing CI, flaky tests, and changes that touch shared contracts between services. Then compare the numbers that reflect developer effort, not comment counts.
Median time from PR opened to merged, and time to first useful feedback.
Share of valid findings that end as a committed fix rather than an open comment.
Findings dismissed as invalid, and findings re-reported after dismissal.
How many runs it takes after a failure, and how many needed a human.
Manual commits, replies, and re-runs needed to reach a merge-ready state.
Total spend, including usage top-ups, divided by PRs merged.
Share of merged PRs reverted within 30 days.
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.
Gitar fixes them. On every plan, reply gitar fix to a finding or apply a suggested fix with one click, and Gitar commits the change to your branch. On Pro and Enterprise, the autonomous fix loop pushes fixes without a manual trigger and commits on green.
Against your own CI, so a green check means verified, not assumed. Gitar reads the logs, identifies the failing step and root cause, and pushes another fix if needed, carrying the history of previous attempts. It stops when CI passes or when it cannot make further progress, and tells you which.
Risk Triage classifies the potential impact of a change, not how urgently someone should look at it. A correct change to payment calculations or authorization logic still comes back High risk. That level feeds your own approval and merge criteria, so it changes what happens next, not just what gets looked at first.
Gitar classifies failures that are unrelated to the PR, such as flaky tests, transient infrastructure errors, or problems on the target branch, and can rerun those jobs automatically. CI retry has its own setting, separate from auto-apply.
Yes. In Cosmos, the PR Author Expert fixes CI failures and merge conflicts and answers review comments. The comparison to make is setup and control: Cosmos asks you to assemble and tune that fleet, while Gitar runs the review, fix, and CI loop out of the box under your rules.
Only if you turn it on. Auto-approve and merge blocking are available on Pro and Enterprise. They are opt-in, defined in plain language, and subject to your required checks, approvals, and branch protection rules.
Yes. SonarQube provides deterministic static analysis, security scanning, and the quality gate. Gitar adds agentic review for intent and logic, diagnoses CI failures, and fixes what blocks the merge. Gitar does not replace SonarQube. It is available standalone or together with SonarQube.
Gitar reviews pull requests on code hosts including GitHub, GitLab, Bitbucket, and Azure DevOps. CI diagnosis covers GitHub Actions and GitLab Pipelines on every plan, with CircleCI, Buildkite, Bitrise, and other CI systems on Pro and Enterprise. Support varies by plan and release, so check the Gitar docs for your setup.