About Bloop
Bloop is an AI tool strategized to assist in the modernization of legacy code. It enables teams to understand, write, and modernize their legacy code more efficiently. With an emphasis on safety, the code is converted from COBOL to Java automatically, ensuring identical behavior between COBOL and Java programs. The converted code is human-readable, ready for modification, and uses open-source libraries to provide cost-effective solutions. The tool's continuous delivery characteristic means theres no requirement for a code freeze during the conversion process, ensuring smooth project progression. A unique feature of Bloop is 'mAInframer-1', a large language model primarily trained for COBOL developers. This aids developers in writing COBOL quicker and more efficiently. Plus, the extension allows coding entirely offline ensuring no requirement of internet connectivity. Furthermore, Bloop offers the possibility to naturally understand your codebase. It supports multi-repo search, allowing users to understand interactions between various codebases and services. Moreover, users can ask questions about the codebase in natural language, navigate code conveniently, and find example usage for various languages. Edited code can be compared with the original using the 'diffing' feature to ensure the scope and specifications are preserved. This tool is designed with an extensive set of features to cater to legacy code conversion, writing, and comprehension needs.
Key Features
- ✅ Quickly finds relevant code
- ✅ Natural language search
- ✅ Prevents dependency bloat
- ✅ Frees up time
- ✅ Speeds up code review
- ✅ Supports regex matching
- ✅ Precise code navigation
- ✅ Open
- ✅ source platform
- ✅ Unlimited free usage for self
- ✅ hosting
- ✅ Collects telemetry
- ✅ Ensures user code privacy
- ✅ Supports 20+ languages
- ✅ Enables codebase changes for all
Pricing
Free to use
Rating & Reviews
3/5 stars based on 1 reviews
Categories & Tags
Category: Code Explanations
Tags: legacy code modernization, COBOL to Java conversion, code understanding, code writing, code safety, continuous delivery