Bloop: Modernizing Legacy Code with AI

Bloop is an AI-powered tool designed to streamline the modernization of legacy code, specifically converting COBOL to Java. It offers a comprehensive suite of features to enhance understanding, writing, and conversion of your codebase, all while prioritizing safety and efficiency.

Features

• Automated COBOL to Java Conversion: Bloop automatically converts COBOL code to Java, ensuring identical functionality and producing human-readable, modifiable code.
• mAInframer-1 LLM: This integrated large language model, specifically trained for COBOL developers, accelerates COBOL coding and improves efficiency. It also supports offline coding.
• Continuous Delivery: Modernize your code without the need for a code freeze, maintaining project momentum.
• Codebase Understanding: Bloop allows for natural language querying of your codebase, multi-repo search capabilities, and easy navigation. It also provides example usage across different languages.
• Diffing Feature: Compare edited code with the original to ensure accuracy and adherence to specifications.
• Open-Source Libraries: Leverages cost-effective open-source libraries in the Java conversion process.

Benefits

• Increased Efficiency: Automate tedious tasks and accelerate the modernization process.
• Reduced Costs: Utilize open-source libraries and improve developer productivity.
• Improved Code Quality: Generate clean, human-readable Java code.
• Enhanced Collaboration: Multi-repo search and natural language querying facilitate team collaboration.
• Risk Mitigation: Continuous delivery and a focus on identical functionality minimize disruption and risks.

Use Cases

• Legacy System Modernization: Effortlessly migrate your COBOL applications to a modern Java environment.
• Codebase Understanding and Analysis: Quickly gain insights into complex codebases and identify areas for improvement.
• Accelerated Development: Leverage the mAInframer-1 LLM to write COBOL code faster and more efficiently.

Bloop empowers organizations to efficiently modernize their legacy systems, reducing costs and improving the overall quality of their codebase.