MIDAS (Modernization with Intelligent Development and Automation System)

MIDAS (Modernization with Intelligent Development and Automation System)

MIDAS represents a revolutionary approach to legacy code migrations, addressing one of the most significant challenges facing enterprise technology today: the modernization of outdated, mission-critical applications into modern and maintainable code.
Our groundbreaking platform combines generative AI with specialized AI agents and custom tools to dramatically accelerate and enhance the code modernization process. By seamlessly integrating human expertise with artificial intelligence, MIDAS enables organizations to modernize their legacy systems with unprecedented efficiency and speed while maintaining complete developer oversight and control.
Our infrastructure and tools are customizable and scalable to meet a wide variety of code migration needs. For initiatives that include Controlled Unclassified Information (CUI) we leverage the Azure Government Community Cloud (GCC High) and GitHub Enterprise to comply with SOC 2 Compliance, NIST 800.171, and Cybersecurity Maturity Model Certification (CMMC) to ensure a secure and streamlined code migration environment.
MIDAS transforms the traditionally resource-intensive process of code migration through a sophisticated orchestration of AI-powered capabilities utilizing cutting-edge Large Language Models (LLMs) to automate and accelerate code migration, reducing effort and time while enhancing code quality and minimizing errors.
Core Innovations & Benefits:
- Intelligent Codebase Analysis: Employs rigorous Abstract Syntax Tree (AST) parsing to ensure accurate migrations, enabling consistent coding standards and seamless optimizations across the entire codebase.
- AI-Assisted Modernization Workflows: Orchestrates precise, deterministic workflows to guide expert AI teams in balancing outcomes, latency, and cost efficiency.
- Comprehensive Quality Assurance: End-to-end (unit, integration, and static code) testing combined with our custom application explorer tool enables AI agents to interact directly with applications, quantifying migrated features and workflows.
- Security-Centric Mindset: Ensures platforms are robust and compliant with modern standards by proactively planning for and mitigating risks during the migration process.
- Developer Empowerment: Provides an interactive modernization workflow with clear decision points, migration analysis, and customizable transformation rules and patterns.

By January 2026, the USMC needs to migrate 10 applications with 250K lines of code from Apache Struts I to Java Spring MVC. The first application to be migrated is 24K lines of code in 6 modules with 29 jars and 100+ classes.
This originally took 8 developers, 8 months to complete manually. We completed the same migration in under 90 days with a team of four resulting in an 80% reduction in migration time.
Broader organizational benefits include:
- Augments the limited pool of legacy code experts to keep your mission critical applications running, performant, and secure.
- Reduces the risks posed by having deprecated or unsupported code bases, frameworks, and libraries that are not being actively maintained.
- Redirect resources and budgets from maintaining costly legacy systems towards evolving mission needs and modernization efforts.

Yes, it is currently being used for the U.S. Marine Corps to convert their 20+ year old suite of Manpower applications from Apache Struts I to Java Spring MVC.

Use Case Business Process Model

Automating Manual Processes. Replacing repetitive manual workflows with automated systems to improve efficiency and reduce errors. Human-AI Collaboration & Autonomous Execution. Designing workflows where humans and AI agents seamlessly collaborate, ensuring efficient handoffs and feedback loops, while leveraging AI for autonomous execution of routine or high-complexity tasks in area

Date

Jan 2025

Organization

Life Cycle

Production

Organization Type

Industry

Vertical Market

IT Modernization