Sold by: Qodo
Deployed on AWS
Qodo is the AI code review platform that helps teams catch critical issues early, reduce review noise, and maintain consistent code quality across fast-moving, AI-driven development.
Overview
Qodo is the enterprise AI code review platform that ensures quality scales with AI-driven development. Our agents run across IDE, Git, and CLI with shared multi-repo context and organization-specific rules to deliver precise, high-signal reviews. The result is cleaner code, faster review cycles, and higher-quality software across teams, repositories, and AI-generated development.
Highlights
- Multi-repo Codebase Context: Review code against the context of your full codebase to catch breaking changes, dependency conflicts, architecture-level issues and other hidden risks. Local code review and 1-click issue resolution: Run review workflows in your IDE alongside your coding assistant to analyze local changes, catch and fix bugs, and flag security or compliance issues before opening a pull request.
- 15+ Git-based review automations: Trigger review agents in your Git to write PR descriptions, flag issues and provide remediations, identify missing tests, generate docs and more. Agentic review automation: Build configurable, specialized review agents with shared context to enforce code quality rules, use tools to execute specific review tasks
- Rules Customization & Enforcement: Embed your governance and security standards directly into every code review to ensure consistent, automated enforcement at scale.
Details
Sold by
Delivery method
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
Trial Teams | qodo Gen and qodo Merge for 5 developers | $190.00 |
Teams | qodo Gen and qodo Merge for 50 developers | $1,900.00 |
Vendor refund policy
According to our terms of use: https://www.qodo.ai/terms/
Custom pricing options
Request a private offer to receive a custom quote.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
AWS marketplace subscribers are entitled to our Standard Support and our Community Support via Discord & GitHub. Discord channel: https://discord.gg/kG35uSHDBc Support: support@qodo.ai
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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AI generated from product descriptions
Multi-Repository Context Analysis
Review code against the context of full codebase to identify breaking changes, dependency conflicts, and architecture-level issues across multiple repositories.
Integrated Development Environment Integration
Run review workflows in IDE alongside coding assistants to analyze local changes, catch bugs, and flag security or compliance issues before pull request submission.
Git-Based Review Automation
Trigger 15+ review agents in Git workflows to write pull request descriptions, flag issues with remediations, identify missing tests, and generate documentation.
Configurable Review Agents
Build specialized review agents with shared context and tool execution capabilities to enforce organization-specific code quality rules and review tasks.
Governance and Security Standards Enforcement
Embed governance and security standards directly into code review processes to ensure consistent automated enforcement of compliance requirements across teams.
Multi-Agent AI Architecture
Platform built on AI agents that provide context-aware assistance with capabilities including custom prompts for specific tasks, technical documentation expertise, API/language/framework specialists, repository experts using knowledge graphs, and onboarding agents.
IDE and Workflow Integration
Extensions available for VS Code and IntelliJ IDEs with integration into communication channels including Discord, Slack, MS Teams, Chrome extension, and web-based CodeGPT Studio.
Model Agnostic AI Selection
Support for multiple AI models including Anthropic, OpenAI, Mistral, Meta, self-hosted options, and local models, with integration to Amazon Bedrock's generative AI models.
Code Development Capabilities
Features including auto-complete code, code explanation, unit test generation, code refactoring, quick fix functionality, problem detection, pull request auto-completion, vision capabilities, code interpretation, and knowledge graphs for repository mapping.
Repository and Team Management Tools
Code commit and pull request review functionality, repository review and testing capabilities, and dashboard tools for managers and CTOs with connections to GitHub, GitLab, and Bitbucket.
AI-Powered Code Generation and Review
Automated merge request generation based on user stories and AI-driven merge request reviews integrated into development workflows
Unified DevSecOps Platform
Comprehensive platform covering the entire software development lifecycle with integrated security and compliance controls from commit to production
Multi-Step Workflow Automation
AI agents capable of executing complex, multi-step tasks including test generation, code upgrades, and deployment workflow automation
Enterprise Security and Compliance
Built-in enterprise-grade security controls with unified platform for automating secure code deployment and reducing risk across the development pipeline
Integrated Development Environment Integration
Direct embedding of AI capabilities into GitLab daily workflows with unified data store for streamlined operations across AWS and GitLab
Standard contract
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