Manage technical debt, improve code quality, prioritize refactoring, and automate reviews, all powered by CodeHealth™, the only validated metric measuring the business impact of code quality. Get started today with a 14-day free trial: https://codescene.com/product/free-trial
Manage technical debt, improve code quality, prioritize refactoring, and automate reviews. All powered by CodeHealth™, the only validated metric measuring the business impact of code quality. Get started today with a 14-day free trial: https://codescene.com/product/free-trial
CodeScene goes beyond static code analysis by combining team dynamics from Git history with technical code aspects to identify complex, frequently modified areas with low code health. This enables you to prioritize critical refactoring, improve code quality and development speed, and address the technical debt that truly slows you down.
Integrate through pull requests to flag code quality issues and get refactoring recommendations. Native integrations include GitHub, Bitbucket, Azure DevOps, and GitLab. Leverage advanced code coverage insights to prioritize risk mitigation effectively.
Use CLI tool and IDE extension to give your developers real-time feedback on how to reduce technical debt within their daily development flows.
Main use cases include: prioritizing refactoring work, code modernization projects, legacy codebase management, AI-powered refactoring, and automated code quality reviews and improvements.
CodeHealth™ is a code quality metric that aggregates 25+ contextual factors of code quality like code duplication, large methods, complex conditional logic, or long parameter lists. It is the only peer-reviewed code-level metric with proven link between code quality and business impact.
CodeScene supports 28+ programming languages. It is ISO27001 certified and takes security seriously.
Identify technical debt that truly slows down development. Prioritize improvements, set quality guardrails, automate code reviews and quality checks via PR, CLI, and IDE tools. Refactor automatically with AI using CodeScene ACE.
Go beyond static code analysis by mining Git history and combining it with team dynamics to identify complex, frequently modified code areas, prioritize refactoring, and fix bad code that matters.
Main use cases include prioritizing refactoring work, code modernization projects, legacy codebase management, AI-powered refactoring, and automated code quality reviews and improvements.
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 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.
You choose one of two plans, priced per active author per month. An active author is anyone who committed code in the past three months, counted once even across multiple codebases. Pick Standard or Pro, not both. The Standard plan covers code health and technical debt management. The Pro plan adds portfolio, team, and delivery insights plus code coverage. Both scale by the number of authors you select, so cost rises as you add authors. There is no cap on the number of active authors.
Top-of-mind questions for buyers
What counts as one active author for billing purposes?
An active author is anyone who committed code in the past three months to the codebases you analyze. The three-month period is a sliding window starting at your most recent commit. Each person is counted once, even across multiple codebases. People who have not committed in three months are included for free.
What happens to my cost if my author count changes during the term?
Your cost is based on how many active authors you have. You can scale up or down by changing your subscription in the customer portal. There is no cap on active authors. The number of users who can log in and use features is unlimited and does not affect the fee.
What features distinguish the Pro plan from the Standard plan?
Standard covers technical debt management, CodeHealth analysis, knowledge distribution insights, and automated code review. Pro includes everything in Standard plus a software portfolio overview, team insights, delivery insights, and code coverage measurement. Both plans bill per active author. You pick one plan, not both.
Request a private offer to receive a custom quote.
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The deployment diagram shows an EC2 instance running CodeScene in Docker and the Load balancer (ALB).
There's a web server running on the instance and listening on port 3003 (plain HTTP). Access to this port is granted to ALB via a security group rule.
Outgoing Internet traffic is via Internet GW.
Daily backups with EBS snapshots via Lifecycle Manager.
Logs are sent to codescene CloudWatch group.
SSH Connection to the instance via SSM (ec2-user)
CloudFormation Template (CFT)
AWS CloudFormation templates are JSON or YAML-formatted text files that simplify provisioning and management on AWS. The templates describe the service or application architecture you want to deploy, and AWS CloudFormation uses those templates to provision and configure the required services (such as Amazon EC2 instances or Amazon RDS DB instances). The deployed application and associated resources are called a "stack."
This product requires an Internet connection to deploy and perform subsequent updates of the product. The following packages are downloaded on deployment:
The "IngressIP" template parameter specifies the source IP range allowed to access the deployed application.
It should be specified according to your network security policies.
Note that "PR Integration" (https://docs.enterprise.codescene.io/latest/integrations/pr-integration/integrate-into-ci-cd.html), requires an open network route from your Git provider (such as GitHub, BitBucket, GitLab, or Azure DevOps) to the CodeScene app to receive PR webhooks events.
If you have an on-premise installation of a Git provider (such as GitHub Enterprise) you can restrict the incoming traffic to your IP ranges.
If you use a publicly hosted Git provider (such as github.com) you need to either allow all traffic with "0.0.0.0/0" (less secure) or periodically update the load balancer's security group based on the provider's published IP ranges (e.g. https://api.github.com/meta).
An IAM role (CodeSceneEC2Role) is created during deployment. This role gives the CodeScene instance necessary permissions for communicating with AWS License Manager (to fetch Contract license info), to deliver logs to CloudWatch, and for secure connections to the instance via Session Manager (SSM).
After the CloudFormation stack is deployed, access the CodeScene web UI via a custom hostname/domain (that you created and associated with the load balancer (ALB)),
If you don't have a custom domain, use the ALB's domain - to find it, go to the 'Resources' tab in the CloudFormation stack details, open the link in the "Physical ID" column of the "ApplicationLoadBalancer" resource, and copy "DNS name".
To log in for the first time, use the default admin account: 'aws.marketplace' username and the ec2 instance id as the password.
After you log in, use the web UI hostname as "CodeScene Host URL" in Configuration -> System -> Host/Network Settings.
Also, consider removing the default login message in Configuration -> License.
Finally, we recommend creating your own admin user in Configuration -> Authentication and deleting the default 'aws.marketplace' user.
To update the CodeScene app to the latest codescene (image) version, connect to the instance and run /home/ec2-user/codescene/codescene.sh update.
To connect to the instance, open the AWS console -> EC2 -> right-click on the codescene instance -> Connect -> Session Manager -> Connect (make sure the username is ec2-user).
Explore our Support Hub for additional resources, insightful tutorials, and comprehensive answers to frequently asked questions. Should you require further assistance or have any inquiries, feel free to submit a support ticket - we're here to help.
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.
CodeHealth™ metric that aggregates 25+ contextual factors including code duplication, large methods, complex conditional logic, and long parameter lists with peer-reviewed validation linking code quality to business impact
Git History Analysis
Combines Git history mining with team dynamics to identify complex, frequently modified code areas and prioritize refactoring based on development patterns
Multi-Language Support
Supports 28+ programming languages for code analysis and quality assessment
Integrated Development Workflow Tools
Provides CLI tool, IDE extensions, and pull request integrations with native support for GitHub, Bitbucket, Azure DevOps, and GitLab for real-time developer feedback
AI-Powered Code Refactoring
Includes CodeScene ACE for automated refactoring recommendations and code quality improvements
Code Quality Monitoring
Monitor and enforce coding standards on every pull request with automated quality checks
Static Application Security Testing
Find and fix application security issues using SAST, SCA, secrets detection, and Infrastructure as Code scanning
Dependency and Vulnerability Management
Identify and remediate vulnerable dependencies and security vulnerabilities across codebase
Engineering Metrics and Analytics
Provide data-driven insights and performance metrics to track and improve engineering team productivity
Multi-Repository Integration
Support integration with multiple Git providers including Github Cloud, Github Enterprise Cloud, Bitbucket Cloud, and Gitlab Cloud
Static Code Analysis
Automatic reviews with static analysis of code to detect bugs, coding standards violations, unit test coverage, code complexity, and comments
Multi-Language Support
Support for over 29 programming languages with continuous expansion
Security Issue Detection
Reporting module to identify and report security-related issues in codebase
Source Control Integration
Integration with GitHub, GitLab, and other SCM tools
Web-Based Administration Interface
Point-and-click web UI for easy administration and configuration
I love CodeScene's simplicity and the concrete advice it gives on how to improve. I also appreciate how it anchors suggestions on improving the codebase from literature and well-known development practices. The initial setup was very straightforward, with running the docker locally and pointing it to codebases being very easy.
What do you dislike about the product?
It was not so easy to understand the portfolio and all the menu navigation. I would love to see more metrics or insights at a glance instead of hidden beneath each menu item.
What problems is the product solving and how is that benefiting you?
CodeScene provides insights into the authors, risks, and health of the codebase, and gives team knowledge distribution.
Marcus L.
Effortless Code Analysis with Swift Support
Reviewed on Jan 26, 2026
Review provided by G2
What do you like best about the product?
I like CodeScene's easy setup and how quickly it gives me a really good understanding of our codebase. The documentation is very good, and if I need personal help, they are swift in replying. It's also a very good starting point when I need help configuring the application to suit my specific needs. It's very easy to get going, and I can tweak the settings to better match my requirements.
What do you dislike about the product?
There is a lot of functionality that I don't use, but that is more related to my, and my company's, use case for CodeScene.
What problems is the product solving and how is that benefiting you?
CodeScene gives me a good understanding of code health, helps prioritize refactoring, and identifies potential risks like developer dependencies and critical code.
Ashok k.
Insightful Change Tracking with No Drawbacks
Reviewed on Oct 31, 2025
Review provided by G2
What do you like best about the product?
It identifies which hotspot files or modules have been changed by multiple people. This insight helps the team understand where changes are happening and who has tested them.
What do you dislike about the product?
I haven't encountered any difficulties so far; everything is working well.
What problems is the product solving and how is that benefiting you?
It helps address unmanaged technical debt. When someone leaves the organization and it becomes difficult to maintain their work, this tool is especially helpful.
Vishal C.
CodeScene Certification
Reviewed on Oct 09, 2025
Review provided by G2
What do you like best about the product?
What I appreciate most about CodeScene is how it transforms code analysis into actionable insights. The platform surpasses standard static analysis by identifying hotspots, technical debt, and aspects of team dynamics, which supports engineering teams in making well-informed decisions. Its visualizations are easy to understand, and the recommendations are genuinely useful, making it simpler to prioritize refactoring efforts and enhance code health over time. Additionally, the course content is thoughtfully organized—concise, targeted, and readily applicable to real-world situations. It’s evident that CodeScene is designed with developers’ needs in mind.
What do you dislike about the product?
While CodeScene offers powerful insights and visualizations, one area that could be improved is the initial onboarding experience. For new users, some of the advanced features and terminology might feel overwhelming without additional context or examples. A more guided walkthrough or interactive tutorials could help users get up to speed faster.
What problems is the product solving and how is that benefiting you?
CodeScene helps identify and manage technical debt, code complexity, and hotspots in a codebase — problems that are often overlooked until they impact delivery timelines or system stability. By visualizing these areas and providing actionable insights, it enables teams to prioritize refactoring efforts and improve code quality proactively. For me, the biggest benefit has been the ability to make data-driven decisions during code reviews and sprint planning. It also helps in communicating technical debt and architectural risks to non-technical stakeholders, which is crucial for long-term planning and resource allocation.
CodeScene stands out by focusing on behavioral code analysis rather than just static rule checks. The hotspot analysis highlights the most critical and frequently changed parts of the system, making it clear where technical debt truly matters. I especially value the GitHub PR integration, where CodeScene posts automated, intelligent review comments — combining code health, test coverage, and change coupling. This ensures that risky changes are caught early, before they reach production.
What do you dislike about the product?
The platform has a bit of a learning curve, especially for teams unfamiliar with concepts like hotspots or change coupling. The UI, while feature-rich, can feel slightly heavy on very large repositories. Integration with coverage tools like JaCoCo is powerful, but it requires some manual configuration, unlike the plug-and-play model of other tools.
What problems is the product solving and how is that benefiting you?
CodeScene pinpoints hotspots and risky code that traditional tools miss, helping us focus on what truly impacts maintainability. It combines behavioral analysis with test coverage to reduce technical debt and improve release confidence.