Next-Gen Automated Code Refactoring Platform Using Generative AI

Overview

FX31 Labs developed an advanced Automated Code Refactoring Platform powered by Generative AI to revolutionize software modernization. This solution streamlines application remodernization by enhancing software quality, maintainability, security, and performance while significantly reducing technical debt. With a single-button push automation, the platform eliminates manual efforts in refactoring, achieving productivity gains of 30-40%.

Challenges

1. Lack of Fully Automated Refactoring Solutions
   • Existing tools like GitHub Copilot, SonarQube, and ReSharper assist developers but still require manual intervention.
   • Businesses struggle with refactoring large codebases, leading to increased costs and inefficiencies.
2. Complexity in Code Modernization
   • Transforming legacy applications without breaking functionality is a critical challenge.
   • Ensuring accuracy and verification of refactored code is time-consuming and resource-intensive.
3. Emerging & Evolving Field
   • Generative AI for refactoring is a novel concept, with limited prior research or existing references.
   • Finding experienced AI/ML developers in this niche domain posed recruitment challenges.

The FX31 Labs Solution

FX31 Labs designed a cutting-edge Generative AI-driven code refactoring platform, offering:

1. Automated Code Refactoring & Replatforming
   • Uses state-of-the-art Large Language Models (LLMs) to analyze and refactor existing codebases.
   • Ensures high accuracy (70%+) in automated transformations, reducing manual workload drastically.
2. Intelligent Design Extraction & Documentation
   • Generates detailed-level design documents from existing codebases.
   • Enables effortless compliance reporting, security scanning, and documentation.
3. One-Click Transformation with Measurable Results
   • Fully automated with verifiable correctness (100% defined with test cases).
   • Reduces months-long refactoring projects to just days or weeks.
4. Beyond Refactoring – Comprehensive Code Enhancement
   • Fixes bad coding practices and improves software security & compliance.
   • Automates test case generation for better validation and debugging.

Technology Stack

• Programming & AI: Python, Spork
• Infrastructure & Automation: Advanced LLM frameworks

Impact & Results

• Increased Productivity: Reduced refactoring time by 30-40%.
• Higher Accuracy: Achieved 70%+ precision in automated code transformations.
• Cost & Time Savings: Months of work now completed in days/weeks.
• Compliance & Security: Enhanced security scanning and compliance adherence.

Conclusion

FX31 Labs’ Automated Code Refactoring Platform is a game-changer in software modernization, going beyond existing tools like GitHub Copilot by delivering fully automated, verifiable code transformation. By eliminating manual refactoring efforts, this platform accelerates software development, enhances maintainability, and drives operational efficiency, setting a new standard for AI-driven application remodernization.