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AI-powered solution to unlock mainframe code and accelerate modernization.

Swimm is an AI-powered solution designed to analyze and unlock complex legacy codebases, specifically targeting mainframe systems. It utilizes static code analysis and AI to build a knowledge base from existing code, revealing architecture, patterns, and hidden business logic. Swimm automatically generates an inventory of programs, modules, and dependencies, accompanied by explanatory names and diagrams. Key use cases include reverse engineering business rules, creating specifications for modernization, and documenting code for better understanding and collaboration among development teams. The platform integrates with internal LLMs and supports both cloud and on-premise deployments, focusing on secure and compliant environments. Swimm aims to accelerate modernization timelines, de-risk initiatives, and transfer knowledge from mainframe experts to other team members.
Swimm is an AI-powered solution designed to analyze and unlock complex legacy codebases, specifically targeting mainframe systems.
Explore all tools that specialize in analyze code structure. This domain focus ensures Swimm delivers optimized results for this specific requirement.
Explore all tools that specialize in generate code documentation. This domain focus ensures Swimm delivers optimized results for this specific requirement.
Explore all tools that specialize in code analysis. This domain focus ensures Swimm delivers optimized results for this specific requirement.
Uses advanced static analysis and machine learning algorithms to understand complex code structures, identify business logic, and map dependencies within legacy systems.
Automatically generates comprehensive documentation for legacy codebases, including program descriptions, data flow diagrams, and API specifications.
Identifies and extracts business rules embedded within legacy code, allowing organizations to understand and modernize critical business processes.
Automatically generates dependency maps that visualize the relationships between programs, modules, and data elements within legacy systems.
Allows organizations to customize the output formats for documentation, specifications, and diagrams to meet their specific needs and standards.
Enables organizations to leverage their internal LLM instances for enhanced code analysis and documentation generation, ensuring data privacy and security.
1. Deploy Swimm on-premise or on a secure cloud instance, ensuring compliance with organizational security policies.
2. Connect Swimm to the mainframe codebase, providing necessary credentials and access rights.
3. Configure the AI analysis engine to recognize specific COBOL dialects and coding conventions.
4. Initiate the code analysis process, allowing Swimm to build the knowledge base and map dependencies.
5. Customize the output formats for documentation, specifications, and diagrams to meet internal standards.
6. Integrate Swimm with the organization's internal LLM instance (e.g., Azure OpenAI Service) for enhanced analysis.
7. Train the development teams on using Swimm to explore the codebase, generate documentation, and plan modernization efforts.
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"Customers praise Swimm's ability to simplify complex codebases and accelerate modernization efforts, citing enhanced collaboration and reduced risk."
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