Top 5 CodeRabbit alternatives

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CodeRabbit is an AI code review tool. It comments on pull requests, and it also reviews code in the IDE and in the CLI. Alongside the model, it runs linters and security scanners such as Semgrep, Betterleaks, Checkov and OSV-Scanner, and uses their output as input to the review. Fix with AI can open a pull request with the change.

CodeRabbit Security adds a dedicated security review of pull requests on the Advanced plan, and Deep Scan, a scan of a whole repository for exploitable vulnerabilities and exposed secrets that is billed separately in credits. Runtime verification, which runs reproductions in a sandbox, is in beta on GitHub. The free plan covers unlimited repositories with pull request summaries and IDE and CLI reviews, open-source repositories get Team features for free, and paid plans cost $30, $60 or $90 per developer a month.

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CodeRabbit is a capable reviewer for everyday pull requests, but teams that want deeper security testing usually start looking elsewhere for one of three reasons.

1. It is a code reviewer first. CodeRabbit is built mainly for general review of each change. In standard reviews, the security signal comes from scanners such as Semgrep, OpenGrep and Betterleaks, whose output the model reviews. Dedicated pull request security review starts on the Advanced plan, and a scan of the whole repository is Deep Scan, sold separately. Teams whose main goal is finding vulnerabilities may want a tool built around that.

2. It does not test the running application. CodeRabbit reviews code and does not run tests against live applications. Running reproductions in a sandbox is in beta and limited to GitHub, and its weekly rescans look at code rather than deployed targets. Teams that want findings proven against their running application, or a check that a fix still holds in production, have to add a separate tool.

3. Security costs are harder to predict. For a team of 10, PR security review means the Advanced plan at $900 a month, compared with $300 on Essentials for review alone. Deep Scan is billed in credits estimated in the app, with no published rate per credit, file or line, and sandbox verification costs $0.40 per agent minute. Self-hosting is limited to Enterprise customers with 500 or more seats.

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Here is how the leading alternatives compare, starting with the one we build.

#1 AISafe Labs

AISafe Labs is an application security platform that uses AI agents to test your code and your running application the way an attacker would. It runs code audits, black-box and white-box pentests, pull request reviews and continuous monitoring from one place, and its free plan includes a full SAST suite.

Where CodeRabbit reviews each pull request for quality and correctness and adds security on its higher plans, AISafe Labs is built for security from the start. A Code Audit covers the whole codebase at once: its agents build a model of your codebase and trace user input from where it enters to where it reaches a sensitive operation, so they can find flaws that depend on how your application is meant to behave, such as broken access control between teams and business-logic errors. A separate triage pass then confirms each finding, merges duplicates that share a root cause and shows its reasoning.

Key features

• Code Audit: AI agents review the whole repository and report evidence-backed findings with exact code locations, the path user input takes, and remediation guidance.
• Code Scan, free: SAST, AI SAST, dependency scanning, secrets detection, licence risk and IaC scanning on the free Basic plan, with no card required.
• Black-box and white-box pentests: agents probe your live application over HTTP and in a browser, and white-box tests combine source access with live confirmation, so findings come with evidence you can replay.
• Pull request security review: every pull request is reviewed for security defects, using what earlier audits learned about the project.
• Endpoint monitoring: AISafe re-runs the proof of each fixed finding against your live application on a schedule and alerts you when a fix regresses.
• Fix verification (beta): check a patched source revision against the original finding before you deploy it.
• Built for coding agents: findings, remediation guidance and fix verification are available through the AISafe API, so your own coding agent can read a finding, write the patch and start the verification itself.
• Fits your workflow: export findings to Jira or Linear, get alerts in Slack or Teams, and run AISafe on your own infrastructure if you need to.

Why AISafe Labs stands out as a CodeRabbit alternative

• Security is the whole product. The free Basic plan includes the full SAST suite, and code audits and pentests are paid from credits on Pro, with the price of each audit shown before you start.
• It proves findings on the live application. Pentests confirm issues against your running application with evidence you can replay, so your team spends its time fixing instead of triaging.
• It keeps watching after the fix. Fix verification checks a patch before you deploy it, and endpoint monitoring re-runs each proof against your live application and alerts you when a fix regresses.

Pricing

The Basic plan is free and includes the full SAST suite. Pro starts at $40 a month and includes the same number of credits, which pay for code audits, pentests and continuous work; the price of a code audit depends on the size of the codebase and is shown before you start.

Ideal for: Teams that want more than a scanner: engineering and security teams that need to find logic and access-control flaws, test the running application, and close the loop from finding to verified fix, without moving to an enterprise contract.

#2 Vercel Security Review

Vercel Security Review is a Vercel Agent feature, in public beta on the Pro and Enterprise plans. It reviews the code changed in each push to a connected GitHub repository and reports vulnerabilities to a dashboard, GitHub checks and pull request comments, and Vercel Agent can then open a pull request with a fix.

Key features

• A review of every push, with comments on private pull requests
• A full source review on the first run, then reviews of changes
• Flags credential exposure in the changed code
• A description of how each issue could be exploited
• Fix pull requests opened by Vercel Agent
• Billed by the tokens each review uses, on top of Pro seats at $20 per developer a month

Ideal for: Teams that deploy on Vercel and want security review inside the workflow they already use, with findings tied to each change.

#3 Claude Security

Claude Security is Anthropic's set of code security tools. The /security-review command in Claude Code makes a single pass over a branch, and the Claude Security plugin runs a multi-agent scan of a whole codebase or a diff and writes reviewed patches. A hosted service, in beta for Claude Enterprise, rescans connected repositories as code changes.

Key features

• Multi-agent scans of a whole repository, with findings checked by independent verifier agents
• Reviewed patches, and Claude can open a pull request with the fix
• On-demand scans of a pull request diff through the plugin
• A written attack path for each finding
• The plugin runs locally, while the models stay hosted
• Webhooks and an API for findings in the Enterprise beta

Ideal for: Teams that already pay for Claude and want a whole-repository security review inside that subscription. Anthropic's docs suggest keeping your dependency scanners alongside it.

#4 Codex Security

Codex Security is OpenAI's code security agent. It scans connected GitHub repositories in Codex and monitors new commits, and its plugin, open-source CLI and SDK scan code locally or in CI and propose patches.

Key features

• Scans of whole repositories, with a suggested patch or a draft pull request
• Pull request security reviews on Pro, Business, Edu and Enterprise plans
• A proof of concept or reproducer when practical, and custom validation that can test a running app
• Export to Jira, Linear and GitHub Issues
• Open-source CLI and SDK that run locally or in CI

Ideal for: Teams on ChatGPT Business or Enterprise that want AI code scanning they can also run in their own CI. Eligible accounts get $500 in free scanning credits to try it.

#5 Hacktron

Hacktron is an AI security platform with three products. Review checks each pull request for exploitable vulnerabilities, Whitebox runs AI pentests from source code with optional testing of the deployed application, and Red is continuous red teaming of a whole organisation. Researchers validate Whitebox and Red findings.

Key features

• Pull request review from $40 per developer a month, free for qualifying open-source repositories
• Whitebox pentests priced by lines of code, about $500 per 100,000 lines, with one free retest
• Proof for each Whitebox and Red finding
• Tested fix pull requests, paid in automation credits
• Two-way Jira and Linear sync
• An on-premises edition on the Enterprise plan

Ideal for: Teams that want AI pentests of their code with findings validated by researchers, and are comfortable paying per pentest by codebase size.

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The right choice depends on what you need your security tooling to catch and how your team works. When you compare options, check:

• Whether you need a code reviewer, a security tool or both. A general AI reviewer helps with quality and correctness on every change. A dedicated security tool goes deeper on vulnerabilities. Many teams run one of each.
• Whether you need the whole codebase or each change. Reviewing diffs catches issues as they land. A full audit finds flaws that span several features, such as access-control gaps between parts of the application.
• Whether you need to test the running application. Static analysis and live testing find different problems. Decide whether you need pentests, and which plan includes them.
• How findings are proven. Ask whether each finding comes with a written attack path, a reproducer or a working proof of concept against your application.
• What it costs as you grow. Compare billing models: per developer, per token, per line of code or per credit, and whether the vendor tells you the cost of a full scan before you run it.

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CodeRabbit is a strong AI reviewer for everyday pull requests, and many teams keep it for that. When you need deeper security testing, AISafe Labs helps you go further: AI agents that audit the whole codebase for logic and access-control flaws, pentests that prove them on your live application, and fix verification that closes the loop.

You can start on the free Basic plan, which includes the full SAST suite, and run your first code audit in minutes. Start for free↗.