As a developer working with legacy COBOL codebases, I found Bloop AI to be a transformative tool for modernizing outdated systems. The platform’s ability to convert COBOL into clean, readable Java code is impressive, ensuring functional equivalence while producing code that feels natural and extensible.

"AI review" team

Using Bloop, I no longer have to sift through cryptic code or worry about extensive refactoring; the AI handles this seamlessly. The initial survey of my environment was thorough, highlighting risks and dependencies, which gave me confidence in the process. The proof-of-concept phase demonstrated the tool's potential by converting a portion of the codebase efficiently. Once the full modernization was complete, my team could immediately start innovating without being bogged down by legacy constraints.

The natural language search feature was particularly helpful for navigating complex codebases. I could ask straightforward questions about specific functions or dependencies and receive clear answers, saving hours of manual exploration. Additionally, its offline operation ensured privacy and security—a critical factor for sensitive projects. Overall, Bloop AI has streamlined my workflow, enabling faster project delivery and reducing technical debt.

Contents

Bloop AI offers a robust set of features designed to simplify legacy code modernization:

: Transforms COBOL into readable Java with functional equivalence.
: Built-in correctness verification ensures reliable translations.
: Allows modernization without pausing ongoing development.
: Enables intuitive queries about codebases.
: Understands relationships across multiple repositories.
: Ensures data security by running locally.
: Offers an interactive platform for generating and understanding code.
: Provides fast and precise searches within large codebases.
: Utilizes open-source libraries for cost-effective modernization.

Automatic COBOL-to-Java conversion
Functional equivalence with safety checks
Continuous delivery without project freezes
Natural language-based code navigation
Multi-repository compatibility
Privacy-focused offline operation
Interactive Code Studio for coding prompts
Fast regex search capabilities
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Open-source library utilization for cost savings

Accelerates modernization efforts with AI-driven automation.
Produces human-readable Java code ready for innovation.
Reduces technical debt and maintenance challenges.
Supports continuous delivery without disrupting workflows.
Enhances developer productivity with natural language search.

Initial analysis of legacy systems can be complex and time-consuming.
Unique legacy systems may pose challenges during conversion.
Highly intricate codebases might require manual refinement post-conversion.
Dependence on AI translation accuracy can limit effectiveness in edge cases.

During one project, I uploaded a COBOL-based payroll system into Bloop AI for modernization. The platform quickly converted the entire system into Java while maintaining its original functionality—a task that would have taken months manually. Using the natural language search feature, I queried specific functions related to tax calculations and received detailed explanations that helped integrate new features seamlessly.

In another scenario, I leveraged Bloop’s multi-repo support to analyze dependencies across interconnected repositories in a banking application. This feature allowed me to identify redundant libraries and optimize the system architecture efficiently.

Finally, during an urgent incident resolution task, Bloop’s regex search pinpointed problematic sections in a sprawling codebase within minutes, enabling rapid fixes without extensive debugging.

: What is Bloop AI?
A: Bloop AI is a tool that modernizes legacy COBOL systems by converting them into readable Java while ensuring functional equivalence.

: Is Bloop free?
A: It offers a free tier for open-source projects; pricing details are available for commercial use.

: How does Bloop ensure data privacy?
A: It operates offline using on-device embeddings for semantic searches.

: Can Bloop handle complex legacy systems?
A: Yes, though highly intricate systems may require additional manual refinement after conversion.

: What industries benefit from Bloop?
A: Software development teams, tech companies modernizing legacy systems, and enterprises undergoing digital transformation.