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Bloop AI

AI-powered legacy code conversion to readable Java, ensuring functional equivalence and long-term maintainability.

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Introduction

Overview

Bloop AI is a cutting-edge research lab and startup specializing in AI-powered legacy code conversion. Based in New York and backed by prominent investors including Y-Combinator, Bloop AI is dedicated to solving the long-term challenge of legacy code modernization. Their primary focus is on converting COBOL to Java, producing code that is not only functionally equivalent but also highly readable and maintainable, effectively eliminating the issues associated with traditional conversion methods like "Jobol" or "Cava."

What is AI Code Conversion?

Traditional code conversion often results in unreadable and unmaintainable code. Bloop AI pioneers a new approach using advanced AI, combining Large Language Models (LLMs) with compiler-based accuracy. This innovative method generates Java code that reads as if a human wrote it, making it ready for immediate integration and further development within an organization's core engineering systems.

Key Benefits

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Functionally Equivalent: AI test suites validate that converted COBOL and Java programs exhibit identical behavior.
Readable Code: Generates Java that is as readable as human-written code, eliminating the "Jobol" or "Cava" problem.
License Free: Modernized code leverages open-source libraries and cloud primitives, maximizing cost savings.
Ready to Change: Converted code can be modified and extended quickly, ideal for meeting tight deadlines.
Safety: Automated translation with built-in correctness checks is safer and more reliable than manual rewrites.

How It Works

Initial Survey: Bloop AI assesses the existing environment, identifying and risk-scoring components and dependencies.
Proof-of-Concept: A portion of the system is converted in a short sprint to demonstrate immediate value.
Full Modernization: The entire system is modernized, with Bloop AI onboarding the client's team for immediate innovation.

Bloop AI aims to free engineering resources from the burden of legacy code, enabling businesses to innovate faster and stay competitive.## What is Bloop AI? Bloop AI is a startup research lab focused on AI and programming languages, dedicated to solving the complex challenge of legacy code modernization. They specialize in converting legacy code, primarily COBOL, into modern, readable, and maintainable Java. Backed by leading investors and Y-Combinator, Bloop AI leverages advanced AI, including LLMs and compiler accuracy, to ensure functional equivalence and high-quality output.

Key Benefits

Readable Java Output: Converts COBOL to Java that reads like human-written code, avoiding jargon like "Jobol" or "Cava."
Functional Equivalence: Ensures converted programs behave identically to the original, validated by an AI test suite.
Cost Savings: Utilizes open-source libraries and cloud primitives in modernized code to maximize cost efficiency.
Maintainability: Generates code that can be easily modified and extended, crucial for meeting tight deadlines.
Enhanced Safety: Automated translation with built-in correctness checks is inherently safer than manual rewrites.

How It Works

Bloop AI follows a structured modernization process:

Initial Survey: An assessment of the existing environment to identify and risk-score components.
Proof-of-Concept: A small-scale conversion sprint to demonstrate value and feasibility.
Full Modernization: Comprehensive conversion of the codebase, followed by onboarding the client's team.

Who Should Use It?

Enterprises: Companies with large COBOL codebases seeking to modernize and reduce technical debt.
Developers: Engineers looking for efficient and reliable tools to handle legacy code migration.
IT Departments: Teams responsible for maintaining and updating critical legacy systems.
Startups: Businesses aiming to leverage modern technologies without being held back by outdated code.

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Information

Websitebloop.ai
Published date2025/11/04

Product Information

Pricing Model

Supported Platforms

Web

Supported Languages

English

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Frequently Asked Questions

Claude Powered

Y Combinator

VC Backed

Desktop App

Collaboration Features

Y Combinator

+3

Key Features

☕️

Readable Java Conversion

Converts legacy COBOL code into human-readable Java, ensuring maintainability and reducing the need for extensive refactoring.

✅

Functionally Equivalent Output

Utilizes AI and compiler accuracy to ensure that the converted Java programs function identically to the original COBOL programs, validated by an AI test suite.

💰

License Free & Cost Savings

Modernized code incorporates open-source libraries and cloud primitives, leading to significant cost savings on licensing and infrastructure.

🛡️

Automated Safety Checks

Automated translation process includes built-in correctness checks, making it a safer and more reliable alternative to manual code rewrites.

🚀

Phased Modernization Process

The process includes an initial survey, a proof-of-concept, and full modernization, ensuring a smooth transition and immediate innovation capabilities for the client's team.

Pros & Cons

Pros

Produces highly readable and maintainable Java code, unlike traditional conversion tools.
Ensures functional equivalence through AI-powered validation, reducing migration risks.
Leverages open-source and cloud primitives to minimize licensing costs.
Offers a structured approach from survey to full modernization, including team onboarding.

Cons

The website does not provide specific details on the pricing model, requiring users to contact them directly.
As a startup, the long-term stability and support might be a concern for some enterprises.

Use Cases

1Migrating large COBOL applications to Java for better scalability and maintainability.
2Modernizing core banking or insurance systems that rely on COBOL.
3Reducing the cost and risk associated with manual code rewrites.
4Enabling faster innovation by freeing development teams from legacy code constraints.
5Assisting developers in understanding and refactoring complex legacy codebases.

Who Should Use This?

👤Enterprises with large COBOL codebases
👤Software development teams modernizing legacy systems
👤IT departments managing technical debt
👤Startups seeking efficient code migration

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Bloop AI