Most AI code review tools are designed with GitHub in mind, but GitLab users aren’t left out. If your team runs on GitLab—especially in enterprise or security-conscious environments—you still need reviews that are accurate, configurable, and context-aware.
Here are the top AI code review tools that work with GitLab, ranked by how well they support real-world workflows across large and complex codebases.
1. Greptile
Best For: Enterprise GitLab teams that need secure, accurate, and context-rich code reviews.
Strengths:
- Reviews PRs with full codebase context, not just the diff
- First-class support for GitLab (and GitHub)
- Handles monorepos, microservices, and internal frameworks
- Customizable with private models, custom rules, and self-hosted deployment
- SOC 2 compliant
- High accuracy—catches real bugs, not nitpicks
Weaknesses:
- Not open-source
- Slightly more expensive
Pricing: Starts at $30/user/month. Custom enterprise pricing for self-hosting.
Takeaway:
Greptile is the most complete solution for GitLab teams that need accurate, full-context reviews that catch complex bugs—not just surface-level suggestions.
2. Elipsis AI Reviewer
Best For: Teams that want automated bug detection and AI-generated fixes inside GitLab or GitHub.
Strengths:
- Detects and auto-fixes logical bugs, antipatterns, and style issues
- Developers can trigger fixes by tagging
@ellipsis-devin merge requests - SOC 2 Type I certified; does not store or retain code after review
- Claims to accelerate merge speed by ~13%
Weaknesses:
- Less customizable for enterprise needs
- May generate false positives in complex or highly specific codebases
Pricing: $20/user/month. Free for public repositories.
Takeaway:
Elipsis offers fast reviews and auto-fixes across GitLab and GitHub—but lacks the configurability needed for teams with strict workflows or deep internal frameworks.
3. CodeRabbit
Best For: Smaller teams on GitLab or GitHub that want lightweight, fast AI review automation.
Strengths:
- Simple GitLab and GitHub integration
- Instant GPT-powered comments on merge requests
- Quick to deploy and easy to use
Weaknesses:
- Diff-only review—no full-repo awareness
- High false-positive rate in complex systems
- Lacks enterprise-level customization or controls
Pricing: Lite $12/user/month, Pro $24/user/month
Takeaway:
CodeRabbit is great for lightweight GitLab reviews, but it lacks the context and accuracy needed for high-stakes or enterprise environments.
4. CodiumAI
Best For: Developers working inside IDEs who want AI-generated tests and logic validation, not PR review.
Strengths:
- Test generation for Python, JS, and Java
- Works alongside GitLab workflows to validate logic
- IDE integrations (VS Code, JetBrains)
Weaknesses:
- Not designed for merge request review workflows
- Lacks repo context and collaborative features
Pricing: Free tier available. Team plans start at $30/user/month.
Takeaway:
CodiumAI adds value to GitLab-based development via test generation—but it’s not a review tool, and shouldn’t be used as one.
5. DeepCode (by Snyk)
Best For: GitLab teams focused on static analysis and vulnerability scanning.
Strengths:
- Strong security-focused static analysis
- GitLab integration available through Snyk CI/CD workflows
- Flags open-source and internal vulnerabilities early
Weaknesses:
- Not a collaborative review experience
- No inline merge request suggestions
- Lacks full-project context or architectural insight
Pricing: Included in Snyk plans. Team pricing starts at $25/user/month.
Takeaway:
DeepCode helps secure GitLab pipelines, but it’s not a replacement for full-featured AI code review in merge requests.
Final Verdict:
All of these tools support GitLab, but few are built for GitLab at enterprise scale. Greptile stands out for its full-repo awareness, self-hosting options, and real bug detection. Elipsis brings speed and auto-fixes, while others like CodeRabbit and DeepCode offer partial value depending on your needs.