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 Legacy Code Transformation System

Legacy Code Transformation System 

Empowering a leading US-based tech firm with advanced code analysis, streamlined UI/UX, and AI-powered BRD generation — accelerating digital transformation while preserving business-critical legacy systems.

  • Country  Dallas, US
  • Service    Legacy Code Modernization & Gen AI Integration
  • Industry  Technology-Enabled Services / Software Modernization




Process Followed

  After lining up salient details related to inventory management and logistics application development, our team outlined a course of action that would be followed to develop a comprehensive solution. The process comprised of identification of problems, considering the relevant factors of the solution, taking note of common challenges faced, and coming up with the outcome in the end.


Problem Identification 

Feasibility study 

Solution Implementation 

Challenges 

Final Outcome 

Client Overview

Client Overview

Our client, based in Dallas, is a prominent technology-enabled services firm that has been a key player since its inception, originally established to address the Y2K transition. With a philosophy deeply rooted in leveraging past achievements rather than erasing them, the company is dedicated to empowering its customers to realize their full business potential through strategic modernization efforts. 

 

Feasibility Study

The client identified a critical challenge faced by companies overwhelmed with large volumes of data, struggling to efficiently extract actionable insights. They explored the feasibility of developing an AI-powered platform capable of quickly analyzing diverse data sets and generating solutions to complex business problems.

  • Assessing AI models like LangChain and Llama 2 for processing CSV and PDF data formats and delivering real-time query responses.
  • Evaluating the integration of real-time conversation features and personalized recommendations within a user-friendly interface for non-technical users.
  • Ensuring the system can scale to handle increasing data volumes efficiently using FAISS vector stores and AWS cloud infrastructure.
  • Estimating the business impact of automating data analysis to speed decision-making, reduce reliance on data experts, and democratize data access.

Feasibility Study

Solution Implementation

QSS Technosoft collaborated closely with the client to understand their legacy code challenges and define platform requirements. Through extensive consultations, they aligned on key goals and features. To ensure high performance and reliability, the team applied meticulous planning, implemented robust testing frameworks, and conducted regular code reviews. The result is a seamless, user-friendly legacy code analysis platform that exceeded expectations—demonstrating innovation, quality, and strong partnership.


Product discovery workshop

Our Product Discovery Workshop is a collaborative, structured session designed to align stakeholders, understand user needs, and define clear project goals. Through workshops involving brainstorming, user journey mapping, and feature prioritization, we help clients uncover key product requirements, validate ideas, and identify technical feasibility early on. This process minimizes risks, accelerates development timelines, and ensures the final solution delivers maximum value to users and the business.


Product discovery workshop

Competitor Analysis


A thorough Competitor Analysis enables us to understand the market landscape, identify strengths and weaknesses of similar products, and uncover opportunities for differentiation. By examining competitors’ features, user experiences, pricing models, and technology stacks, we provide actionable insights that inform product strategy and positioning. This competitive intelligence helps our clients build solutions that stand out, address unmet needs, and gain a strategic advantage in their industry.

Key Features

Key Features

  • Code Analysis with Scan: Extract, evaluate, and report on code health and improvement areas.  
  • Comprehensive Code Inventory: Identify languages, dependencies, and unused files for informed modernization decisions. 
  • Architectural Insights via Discover: Understand application architecture and dependencies for effective modernization planning. 
  • Thorough Code Examination with Analyze: Dive deep into code structure, logic, and complexity for strategic modernization. 
  • Streamlined Transformation: Customize application models for seamless legacy to modern system updates. 
  • Efficient Code Analysis in Editors and Viewers: Analyze code directly within familiar editing environments. 
  • Collaborative Code Commentary System: Foster collaboration and knowledge sharing with a user-friendly comment system. 
  • Enhanced Analysis with Dynamic Filters: Tailor code analysis by dynamically adjusting parameters for focused insights. 

Challenges

The Challenges

  • Develop an intuitive and user-friendly UI/UX to navigate through complex legacy systems effectively. 
  •  Prioritize adherence to stringent code standards, Agile Methodology, and industry best practices to maintain code quality and facilitate seamless collaboration. 
  • Deliver a comprehensive solution that balances modernization with heritage preservation, enabling organizations to unlock their full potential while leveraging existing business scenarios. 
  • Integrate cutting-edge technology solutions to ensure scalability and high performance of the platform. 
  • Implement thorough and regular code reviews to identify and address issues promptly, ensuring continuous improvement and reliability. 

Final Outcome

  • Improved Code Understanding: Enabled better insights into legacy code for smarter modernization decisions.
  • Faster Modernization: Accelerated the legacy-to-modern transition with high-quality code practices.
  • Stronger Team Collaboration: Enhanced communication through built-in code comments and sharing tools.
  • Real Business Value: Boosted code quality, UI/UX, and team efficiency—driving measurable business results.
  • AI-Powered BRD Generation: Automated BRD creation directly from legacy code using Gen AI.
  • Scalable LLM Deployment: Enabled flexible on-premise and cloud-based large language model integration.
  • High-Efficiency Processing: Optimized multi-GPU usage for faster, large-scale document handling.


Final Outcome

Information Architecture​

Technology Stack

React Query React Query
Tailwind Tailwind
Typescript Typescript
React  React  
NextJS NextJS
Ag Grid Ag Grid
ChartsJS ChartsJS
Cypress     Cypress
Storybook  Storybook  

Project Consultation with an expert

  • Grasp your development needs.
  • Illuminate our process for pairing you with qualified, thoroughly vetted developers from QSS Technosoft Inc.
  • Discuss the subsequent steps, frequently resulting in finding the perfect match within less than one day.
Book Consultation

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Call us at +1 (612) 201-1169

For Job write us at career@qsstechnosoft.com