AI-Led Software Engineering | Unlocking Productivity in Engineering and QA with GitHub Copilot 

Discover how a leading tier 1 U.S. bank accelerated digital transformation through AI-powered development. 

The Challenge

A leading tier 1 U.S. bank needed to modernize its merchant onboarding and servicing portal to a new technology stack. With thousands of employees across the organization, the bank recognized that staying competitive in the rapidly evolving financial services landscape required embracing new technology like GenAI tools to accelerate feature development and support key technology initiatives. 

The technical challenges facing the development team were multifaceted and complex. The process involved:

• Complex Code Refactoring: The legacy codebase required comprehensive restructuring and optimization to align with the new architecture, demanding extensive code refactoring across multiple systems.
• Framework/Library Migration Challenges: The transition required deep technical expertise and careful planning to avoid disrupting critical business functions. The team needed to migrate from existing frameworks and libraries to modern alternatives.
• Time-Consuming Process of Rewriting Automation Test Scripts: One of the most resource-intensive aspects of modernization involved rewriting automation test scripts, a time-consuming process that created significant bottlenecks in the quality assurance workflow. The existing test automation suite needed a complete migration from Eggplant to Karate framework.
• Pipeline Configuration Issues to Support New Tech Framework: Pipeline configuration issues were emerging as the team worked to support the new technology framework, creating integration and deployment challenges that threatened project timelines.  

The Solution

The bank engaged Myridius to implement Microsoft GitHub Copilot to infuse its development and QA processes with a promising cutting-edge productivity tool. The implementation followed a structured approach prioritizing user adoption and mastery of the AI-powered development assistant.  

The onboarding process was comprehensive and thoughtful. The team engaged in discussions that introduced GitHub Copilot and its basic usage patterns. Rather than rushing into full implementation, proper training and experimentation was conducted, allowing the team to ease into AI-led engineering processes.  

To foster a culture of knowledge sharing, the bank established bi-weekly meetups where developers could exchange usage patterns and innovative ideas. This collaborative approach accelerated learning and helped identify best practices. In addition, special events showcased user growth and measurable impact, encouraging broader adoption across the organization. 

The comprehensive solution addressed each technical challenge systematically:

• Faster Code Refactoring: Copilot provided intelligent code suggestions and refactoring assistance, helping developers rewrite and optimize the existing codebase for the new architecture.  
• Guided Migration Process: The tool offered code snippets and best practices for integrating the new framework/library components.  
• Faster Compliance Resolution: Copilot helped identify and resolve compliance issues by analyzing code and suggesting necessary changes.  
• Automation Script Migration: Facilitated the migration of automation scripts from Eggplant to Karate and generated new scripts based on test cases from TestRail.
• Pipeline Configuration: Copilot assisted in analyzing and updating GitLab pipeline configurations to ensure smooth integration and deployment processes.

The Results

The implementation of GitHub Copilot transformed the bank's development capabilities. The solution achieved significant improvements across multiple areas:

• Reduced Code Refactoring Effort: Accelerated legacy code restructuring and optimization.
• Cut Test Automation Script Development Effort by 50%: Halved automation script development time through Eggplant to Karate migration.
• Improved Code Quality: Quickly identified code errors and provided optimization suggestions. 

GitHub Copilot delivered transformative results across multiple metrics. 

* The significant increase in code volume reflects the comprehensive modernization activities that occurred alongside the GitHub Copilot implementation. This included major refactoring and removal of unused code components, which contributed to the overall increase in lines of code changes reported. 

Beyond the quantitative improvements, the implementation created lasting organizational benefits. The collaborative learning environment established through bi-weekly meetups and knowledge-sharing sessions created a culture of continuous improvement and AI-powered development excellence.  

The strategic outcomes have positioned the bank for sustained competitive advantage. The modernization initiative was successfully completed, leading to an enhanced merchant onboarding and servicing portal that better meets customer needs and responds to market demands. Establishing AI-enhanced development workflows created a scalable foundation for future innovation projects while demonstrating success and encouraging broader adoption of GenAI tools across the organization. 

In summary: Accelerate Digital Transformation Initiatives with AI-Powered Engineering 

Development teams are under constant pressure to deliver faster while maintaining quality. Manual processes and legacy workflows create bottlenecks preventing organizations from meeting growing demands.  

GitHub Copilot delivers intelligent code suggestions, automated testing, and streamlined development workflows, seamlessly integrating with existing development environments and processes.  

Myridius enhances this transformation by providing expert implementation guidance, best practices, and accelerated adoption strategies tailored to your organization's specific needs.  

With Myridius, organizations can:  

• Transform legacy systems with AI-assisted code refactoring and migration.
• Reduce development time by 50% through intelligent automation and testing.
• Leverage proven methodologies to enhance productivity across Engineering, QA, and DevOps teams.