---
title: CodeReviewr Reviews
meta_title: 'CodeReviewr Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter reviews by the users' company size, role or industry to find
  out how CodeReviewr works for a business like yours.
date_modified: '2026-04-29'
parent_category:
  name: Generative AI
  url: https://www.g2.com/categories/generative-ai
---


# CodeReviewr Reviews
**Vendor:** CodeReviewr  
**Category:** [AI Coding Assistants Software](https://www.g2.com/categories/ai-coding-assistants)
## About CodeReviewr
CodeReviewr is an AI-powered code review tool designed to provide developers with instant, comprehensive feedback on their pull requests. By integrating seamlessly with GitHub, it automates the code review process, ensuring high-quality code without the delays associated with manual reviews. With a pay-per-use pricing model, CodeReviewr offers a cost-effective solution for solo developers, freelancers, and small teams, eliminating the need for per-seat subscriptions. Key Features and Functionality: - Instant Feedback: Receive detailed code reviews within minutes, reducing wait times and minimizing context switching. - Security First: Identify vulnerabilities, exposed secrets, and bugs before deployment through enterprise-grade analysis. - GitHub Integration: Quick installation enables automatic reviews on every pull request, fitting seamlessly into existing workflows. - Interactive Review Process: Engage with the AI reviewer directly within pull requests to ask follow-up questions and gain deeper insights. - Package Advisory Scanning: Automatically checks dependencies against known vulnerability databases on every pull request. - OWASP Top 10 Compliance: Each review assesses code against the OWASP Top 10 vulnerabilities, including injection flaws, cross-site scripting (XSS), and broken authentication. Primary Value and Problem Solved: CodeReviewr addresses the inefficiencies and costs associated with traditional code review processes. By automating reviews with AI, it provides immediate, high-quality feedback, allowing developers to ship code faster and with greater confidence. The pay-per-use pricing model ensures that users only pay for the reviews they need, making it an economical choice for developers who actively ship code. This approach eliminates the waste associated with per-seat subscriptions and offers flexibility for teams of all sizes.






- [View CodeReviewr pricing details and edition comparison](https://www.g2.com/products/codereviewr/reviews?section=pricing&secure%5Bexpires_at%5D=2026-09-17+06%3A34%3A37+-0500&secure%5Bsession_id%5D=1b0f3526-fc99-4503-b67f-b060edd52606&secure%5Btoken%5D=384fd60eff8ef83679a9af0877616f33479ac85300f66345018897bbb8561aeb&format=llm_user)

## CodeReviewr Features
**Additional Functionality**
- Tagging
- Natural Language Processing
- Data Extraction
- Multi-Language
- Predictive Analytics
- Drag & Drop
- Speech Recognition
- Reporting/Analytics
- Data Storage Management
- Virtual Personal Assistant (VPA)
- AI Copilot
- Customer Segmentation
- Collaboration Tools
- Data Import/Export
- Generative AI
- For eCommerce
- Role-Based Permissions
- Customizable Branding
- Search/Filter
- Monitoring
- Document Management
- API
- Data Visualization
- Trend Analysis
- Machine Learning
- Access Controls/Permissions
- Alerts/Escalation
- Performance Metrics
- Real-Time Data
- Third-Party Integrations
- Mobile App
- Multiple Data Sources
- For Sales Teams/Organizations
- Sentiment Analysis
- Activity Dashboard
- Chatbot
- Workflow Automation

**Additional Functionality**
- Code Generation
- Text to Image
- Generative AI
- API
- Natural Language Processing
- Virtual Characters and Avatars
- Content Generation
- Personalization and Recommendation
- Conditional Generation
- Transformer Model
- Automated Image & Video Editing
- Interactive and Co-Creative Systems
- Text Summarization
- Data Augmentation
- Variation Autoencoder Models
- Adversarial Training
- Transfer Learning and Fine-tuning
- Simulation and Scenario Generation
- Creative Design
- AI Copilot
- Prompt Engineering
- Foundation Model

**Real-Time AI Coding Assistance**
- Real-Time AI Coding Assistance

**Proactive Error Detection**
- Proactive Error Detection

**Workflow Integration of AI**
- Workflow Integration of AI

**Code Generation**
- Code Generation

**Intuitive Interface**
- Intuitive Interface

**Knowledge Management**
- Knowledge Management

**Context-Aware Coding Assistance**
- Context-Aware Coding Assistance

**Code Refactoring**
- Code Refactoring

**Documentation Management**
- Documentation Management

**Code Explanation**
- Code Explanation

**Multi-File Context**
- Multi-File Context

**Functionality - AI Coding Assistants**
- Contextual Relevance
- Code Optimization
- Proactive Error Detection

**Usability - AI Coding Assistants**
- Collaboration
- Integration
- Speed
- Interface

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