Overview

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BMC AMI DevX is a comprehensive product suite designed to modernize the mainframe developer experience by integrating traditional mainframe development with contemporary DevOps practices and tooling. It includes tools for code analysis and insights, debugging, automated testing, CI/CD pipelines, data access/manipulation, and performance testing, all aimed at improving productivity and software quality. The suite provides modern IDE support (e.g., VS Code, Eclipse) and AI-powered features to help developers understand, refactor, and work with complex legacy code more efficiently. Overall, DevX streamlines workflows, accelerates delivery, and helps organizations attract and retain mainframe developers by reducing friction and enhancing visibility across the development lifecycle.
Highlights
- Modern Developer Experience & Tooling Provides support for modern IDEs (like VS Code and Eclipse) and integrates mainframe development into contemporary workflows, making it easier for developers to onboard and be productive.
- DevOps and Automation Integration Enables CI CD, automated testing, and collaboration across teams, helping accelerate delivery cycles and improve software quality.
- AI Driven Insights & Code Intelligence Offers code analysis, impact assessment, and insights that help developers understand, refactor, and maintain complex legacy code more efficiently.
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Pricing
Dimension | Cost/36 months |
|---|---|
BMC AMI DevX Units | $36,000.00 |
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BMC does not provide refunds
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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.
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Customer reviews
DevOps Automation with BMC AMO DEVX
Teams new to mainframe DevOps may struggle to adapt quickly, especially if they lack prior exposure to COBOL, JCL, or legacy systems.
Cost considerations
Pricing can scale significantly depending on capacity, user count, and bundles, which may be a barrier for smaller organizations.
Customization complexity
Deep tailoring of pipelines, integrations, or modernization features often requires specialized expertise, slowing adoption.
Legacy dependency
While it modernizes workflows, it still relies heavily on legacy codebases, meaning modernization is incremental rather than transformative.
Integration overhead
Connecting with modern CI/CD tools and cloud-native environments can require extra configuration and governance effort.
Slow release cycles: Manual testing, approvals, and deployments make delivery sluggish.
Limited visibility: Dependencies and runtime behaviors are opaque, making troubleshooting difficult.
Modernization risk: Refactoring monolithic code into modular components is risky without proper tooling.
Skill gap: New engineers struggle to onboard quickly due to unfamiliar environments.
Great Deployment Visualizations, but Integration and Alerting Need Improvement
The insights are nice to have when checking multiple deployments across environments
Also alerting for stuff inst possible as current on call alerting from datadog or pagerduty doesn't integrate seamlessly into it