Sold by: The VGER Group
Deployed on AWS
Code Janitor automates repository maintenance across your GitHub organization - scanning for technical debt, running AI-powered code analysis, and executing fixes at scale. Bring your own LLM key; all data stays in your AWS account.
Overview
Code Janitor does the repository maintenance work of a dedicated platform engineer - at a fraction of the cost. It deploys entirely within your AWS account and connects to your GitHub organization to continuously analyze, report on, and remediate code quality issues across your entire repository portfolio.
Key Capabilities:
Automated Repository Analysis - Continuously scan repositories for code quality issues, security vulnerabilities, outdated dependencies, and technical debt. Get actionable insights without manual code reviews.
AI-Powered Task Execution - Define maintenance tasks in natural language and let Code Janitor's LangGraph-based agent execute them across multiple repositories. Update dependencies, enforce coding standards, apply security patches, and open pull requests - all at scale.
Bring Your Own LLM - Code Janitor works with any LLM provider: OpenAI, Anthropic, Google Vertex AI, Azure OpenAI, AWS Bedrock, or any OpenAI-compatible endpoint. You supply the API key; you control the costs. No token markup, no vendor lock-in.
MCP Tool Integrations - Extend agent capabilities with Model Context Protocol (MCP) servers. Install Claude Code, GitHub, PostgreSQL, and other tools from the built-in marketplace with a single click.
GitHub Integration - Seamless integration with the GitHub API for repository operations, pull request management, and issue tracking. Works with GitHub.com organizations.
AWS-Native Deployment - Deploys in your AWS account using ECS Fargate, RDS PostgreSQL, and ElastiCache Redis. Includes Application Load Balancer, AWS Secrets Manager for credential management, CloudWatch logging, and optional custom domain with ACM-managed SSL. Supports Bring-Your-Own-VPC for existing network environments.
Highlights
- Automated repository maintenance at scale - Scan, analyze, and remediate code quality issues across your GitHub organization with AI-powered workflows. Does the work of a dedicated platform engineer at a fraction of the cost.
- Bring Your Own LLM - Works with OpenAI, Anthropic, AWS Bedrock, Google Vertex AI, Azure OpenAI, and any OpenAI-compatible endpoint. You control the API keys and token costs. No per-seat pricing, no SSO gating.
- Fully AWS-native deployment - Runs entirely in your account using ECS Fargate, RDS, ElastiCache, and Secrets Manager. Supports custom domains, Bring-Your-Own-VPC, and single-command CloudFormation deployment.
Details
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Delivery method
Supported services
Delivery option
CloudFormation - Deploy to AWS ECS Fargate
Latest version
Operating system
Linux
Deployed on AWS
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Features and programs
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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 |
|---|---|---|
Starter | Up to 10 repos and 2M lines of code | $300.00 |
Standard | Up to 50 repos and 10M lines of code | $1,000.00 |
Professional | Up to 150 repos and 30M lines of code | $2,500.00 |
Vendor refund policy
Monthly subscriptions: No refunds for partial months. Cancel anytime; access continues to end of billing cycle. Annual and multi-year (12-, 24-, 36-month): All fees are non-refundable. Early termination does not relieve payment obligations. If The VGER Group cannot provide service due to a cause solely attributable to The VGER Group, a pro-rated credit may be issued at our discretion. Contact: support@thevgergroup.com
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
CloudFormation - Deploy to AWS ECS Fargate
Supported services: Learn more
- Amazon ECS
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
v1.2.24 - Security hardening: Redis transit encryption enabled, ECS security group restricted to ports 8000 and 5173, CVE fixes for langchain-core >= 1.2.5 and PyJWT >= 2.12.0.
Additional details
Usage instructions
- Deploy the CloudFormation template from the deployment guide URL. 2. Provide your GitHub personal access token and allowed organizations. 3. After stack creation (10-15 min), navigate to the ALB URL. 4. Complete first-time setup to create your admin account. 5. Configure your LLM provider (OpenAI, Anthropic, Bedrock, etc.) in Admin settings.
Support
Vendor support
Code Janitor includes email support for all subscribers. Contact support@thevgergroup.com for technical assistance, deployment questions, or feature requests.
Support Response Times:
- Email support: Response within 24 business hours
- Critical issues: Escalation available for production deployments
- Documentation: Comprehensive deployment guides available within the product.
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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