AI Code Reviewer is a tool designed to conduct automatic code reviews.
New Vendor-confirmed details
CodeGuard AI
Self-hosted AI code review for GitHub PRs, with contextual analysis and a guarded workflow from findings to fixes.
In short
Self-hosted Java/Spring Boot application for AI-powered GitHub pull-request reviews, repository-aware analysis, configurable team rules, and guarded AI-suggested fixes. Sold as source code, not a hosted SaaS.
About CodeGuard AI
CodeGuard AI helps developers review GitHub pull requests using AI while retaining control over their deployment and configuration. It analyzes code changes for potential bugs, security concerns, performance issues, and coding best practices using repository context and configurable team rules.
Key capabilities include behavior impact analysis, review history, feedback-based improvements, suggested patches, and a guarded Apply Fix workflow that checks pull-request state and revision before attempting changes. It also includes safeguards against stale reviews and unsafe file paths.
CodeGuard AI is built with Java and Spring Boot and is sold as a one-time source-code package for $15. It is intended for developers and teams who want to customize and self-host their code-review workflow. Hosting and AI-provider usage costs are separate.
What problem does it solve?
Developers often spend significant time reviewing GitHub pull requests, identifying potential bugs, checking security and performance concerns, and applying fixes. CodeGuard AI helps automate parts of this workflow with repository-aware AI reviews, configurable team rules, and safeguards designed to reduce the risk of applying fixes to outdated or unsafe code.
What you can do with it
Review GitHub pull requests for potential bugs, security issues, performance problems, and coding best practices; analyze the impact of code changes; apply custom team review rules; inspect findings and review history; provide feedback on reviews; generate suggested patches; and apply supported fixes through a guarded workflow.
Key features
- AI-powered GitHub PR review
- Repository-context analysis
- Bug, security, and performance findings
- Behavior impact analysis
- Configurable team rules and policies
- Reviewer feedback learning
- AI-suggested patches
- Guarded Apply Fix workflow
- Stale-review detection
- Unsafe-path safeguards
- Review history and filtering
- Markdown/PDF report export
- Support for configurable AI providers
Capabilities
AI featuresYes
API availableNo
WebhooksYes
AutomationYes
White labelNo
Integrations: GitHub Pull Requests, GitHub API, GitHub webhooks, OpenAI, Google Gemini, Groq, Ollama
Who it’s for
Software developers, Java/Spring Boot engineers, freelance developers, and engineering teams that work with GitHub pull requests and want a customizable, self-hosted AI code-review workflow.
Recommended for: Java developers, GitHub users, freelance software engineers, startups, and software development teams seeking customizable self-hosted AI code review.
Not designed for
CodeGuard AI is not a hosted, managed SaaS service, a replacement for human code review, or a guarantee that all bugs and security vulnerabilities will be detected. It is not intended for reviewing code outside its supported GitHub pull-request workflow without additional integration or customization.
Pricing
$15 one-timeOne-Time (Lifetime Access)
- Software type
- Paid
- Billing
- Lifetime Access
- Card needed for free plan
- No
Prices are set by the provider and can change. Always check their pricing page.
Technical details
- Product type
- Developer Tool
- Deployment
- Self-hosted
- Platforms
- WindowsLinuxWeb
- Documentation
- Read the docs
Release info
- Launched
- 24/07/2026
- Current version
- 1.0.0
- Last updated
- 07/10/2026
Credibility
- Founded
- 2026
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