Smarter Code, Stronger Systems
Automated Code Refactoring for Legacy Application Modernization
Doogle AI’s automated code transformation services use advanced AI to refactor legacy applications—optimizing performance, reducing technical debt, and delivering clean, modern architecture ready for cloud and enterprise-scale growth.
Get Started TodayWhy Refactor Legacy Code Instead of Rewriting It?
Legacy systems often carry years—if not decades—of technical debt, making them increasingly difficult and expensive to maintain. With outdated languages, rigid architecture, and limited documentation, these systems become performance bottlenecks and security risks. Doogle AI’s legacy app modernization services leverage automated refactoring to intelligently restructure your codebase without rebuilding it from scratch. This approach preserves critical business logic while transforming legacy software into scalable, efficient applications.
Unlike a full rewrite, which can be time-consuming, costly, and error-prone, legacy software optimization through refactoring delivers clean, modular architecture that’s easier to update, integrate, and secure. Modernized code improves application performance, enhances maintainability, and reduces long-term risk—without the disruption or expense of a total rebuild. It’s the most efficient way to extend the life and value of your software while preparing for cloud and digital transformation.
Unlike a full rewrite, which can be time-consuming, costly, and error-prone, legacy software optimization through refactoring delivers clean, modular architecture that’s easier to update, integrate, and secure. Modernized code improves application performance, enhances maintainability, and reduces long-term risk—without the disruption or expense of a total rebuild. It’s the most efficient way to extend the life and value of your software while preparing for cloud and digital transformation.
~0%
of IT budgets are spent maintaining legacy systems.
(Source: Gartner)
(Source: Gartner)
0%
reduction in future development time
(Source: McKinsey & Company)
(Source: McKinsey & Company)
From Legacy to Modern
How Our Refactoring Process Works
Doogle AI’s automated code transformation process combines AI, machine learning, and deep software analysis to modernize legacy applications into clean, modular code—ready for today’s enterprise demands.
Code Decomposition
Every modernization journey begins with deep code decomposition. Our platform ingests and breaks down legacy code—including COBOL, PL/1, and JCL—into a granular Hyper-model that reveals structure, dependencies, and hidden logic.
This foundational step allows us to fully understand your application landscape, even when documentation is outdated or missing. By mapping relationships between modules, databases, and transaction flows, we ensure a precise starting point for refactoring.
This foundational step allows us to fully understand your application landscape, even when documentation is outdated or missing. By mapping relationships between modules, databases, and transaction flows, we ensure a precise starting point for refactoring.
AI-Powered Pattern Recognition
Using advanced application modernization tools, our AI and machine learning models scan the decomposed code for patterns, inefficiencies, and legacy constructs. The system intelligently identifies code segments that can be optimized, removed, or rewritten.
aThis includes outdated loops, hard-coded logic, and redundant modules. Pattern recognition also helps flag business-critical components to ensure that functionality is preserved in the modernized version.
aThis includes outdated loops, hard-coded logic, and redundant modules. Pattern recognition also helps flag business-critical components to ensure that functionality is preserved in the modernized version.
Automated Language Conversion
Next, our platform executes automated code transformation, converting legacy code into modern, maintainable languages like Java, .NET, or Python. Using a rules-based engine, each legacy construct is mapped to its modern counterpart—ensuring compatibility, improved readability, and future extensibility.
Unlike manual rewrites, this step happens at scale with high precision and consistency, significantly reducing time and risk.
Unlike manual rewrites, this step happens at scale with high precision and consistency, significantly reducing time and risk.
Output as Modular, Modern Code
The final result is clean, modular code built on modern architecture principles. Each component is isolated for easy testing, maintenance, and future upgrades. This code is not only cloud-ready but also optimized for performance, security, and agility.
Your team can now integrate it into DevOps pipelines, enhance it with APIs, and scale it across your enterprise—all while maintaining full continuity with the original business logic.
Your team can now integrate it into DevOps pipelines, enhance it with APIs, and scale it across your enterprise—all while maintaining full continuity with the original business logic.
Broad Compatibility Built In
Supported Languages & Modernization Platforms
Doogle AI’s legacy code modernization platform is engineered for maximum flexibility—supporting a wide range of legacy environments and modern technologies.
Whether you’re running decades-old COBOL on mainframes or managing custom middleware integrations, our system can refactor, convert, and deploy your applications to cloud-ready architectures. We ensure a smooth legacy to cloud migration by fully supporting the languages, platforms, and databases that power your critical systems.
Explore AI-Powered ModernizationWhether you’re running decades-old COBOL on mainframes or managing custom middleware integrations, our system can refactor, convert, and deploy your applications to cloud-ready architectures. We ensure a smooth legacy to cloud migration by fully supporting the languages, platforms, and databases that power your critical systems.
Legacy Languages & Platforms:
COBOL (74/85, MFCOBOL)
PL/1
RPG, Assembler
JCL (IBM, Bull)
CA Gen, CA Ideal
Natural (Software AG)
Output Languages & Frameworks:
Java / Spring Boot
Python
RESTful APIs
Node.js
.NET / C#
Microservices-ready architecture
Middleware & Database Compatibility:
Databases:
DB2
IMS
IDMS-DB
VSAM
Oracle
SQL Server
Middleware:
CICS
IDMS-DC
Tuxedo
TP8
Cloud Environments:
AWS
Azure
Google Cloud
File Systems:
ISAM
GDG
Flat Files
Modernization, the Smarter Way
Automated Refactoring vs Manual Rewrite
When it comes to building your legacy modernization strategy, the difference between traditional rewrites and automated code transformation is clear—AI delivers better results faster, with less risk and lower cost.
Key Factor
Manual Rewrite
Automated Refactoring
Speed
Cost
Accuracy
Business Logic Risk
Maintainability
Disruption & Downtime
Scalability & Cloud Fit
Solutions for Modern Leaders
Who Benefits from Our Application Modernization Software
Doogle AI’s application modernization software is built for organizations facing complex legacy challenges at scale.
Whether you're a CIO shaping digital strategy, an IT team burdened by outdated systems, or a business preparing for cloud migration, our AI-powered refactoring platform delivers the speed, precision, and continuity you need to modernize without disruption.
Whether you're a CIO shaping digital strategy, an IT team burdened by outdated systems, or a business preparing for cloud migration, our AI-powered refactoring platform delivers the speed, precision, and continuity you need to modernize without disruption.
CIOs & Enterprise IT Leaders
Make informed modernization decisions backed by data, automation, and scalability. Our platform aligns technology with enterprise strategy—eliminating technical debt while enabling cloud-native growth.
Development & Infrastructure Teams
Simplify the burden of maintaining monolithic legacy applications. Empower your team with clean, modular code that’s easier to test, enhance, and integrate into your existing workflows.
Organizations Planning Cloud Migration
Transform your legacy code into cloud-ready applications with minimal risk. Whether you’re preparing for AWS, Azure, or hybrid environments, our automated process accelerates your cloud journey.
Frequently Asked Questions
What is automated code refactoring?
Automated code refactoring uses AI-driven tools to restructure and optimize legacy application code without changing its functionality. It transforms outdated code into clean, modular, and maintainable modern architectures.
How is automated code transformation different from a manual rewrite?
Manual rewrites involve developers re-coding applications from scratch, which is time-consuming and error-prone. Automated transformation uses predefined rules and AI models to convert and refactor code quickly and accurately—preserving business logic and reducing cost and risk.
What legacy languages do you support?
Doogle AI supports a wide range of legacy languages including COBOL, PL/1, JCL, Assembler, and Natural. We also support legacy databases and middleware like IDMS, IMS, VSAM, and CICS.
Can you convert COBOL to Java or .NET?
Yes. Our platform includes intelligent language conversion tools that transform COBOL and other legacy code into modern languages like Java, C#, or Python—ready for cloud deployment and DevOps integration.
Will I lose any business logic during the refactoring process?
No. Our AI-based system is designed to retain 100% of your business logic. We map every function and rule to its modern equivalent, ensuring full continuity of operation.
How long does the refactoring process take?
While timelines vary by project size and complexity, most transformations are completed in weeks or a few months—significantly faster than traditional rewrite projects.
Is the output cloud-ready?
Yes. The refactored code is designed for modern, scalable cloud environments and aligns with microservices and containerization best practices.
Can you help with post-migration support?
Absolutely. We offer services to assist with integration, testing, optimization, and cloud deployment to ensure long-term success after modernization.
Start Your Transformation Now
Ready to Refactor Smarter?
Modernize your legacy applications with speed, precision, and confidence.
Doogle AI’s automated code transformation platform delivers clean, cloud-ready architecture without sacrificing business logic or blowing your budget.
Doogle AI’s automated code transformation platform delivers clean, cloud-ready architecture without sacrificing business logic or blowing your budget.
