Modernizing a restaurant chain’s internal apps with AI-driven precision 

Restaurant app modernization

The Challenge

A leading U.S. quick-service restaurant chain relied on five business-critical internal applications built on an outdated Vue 2 stack. These legacy systems posed growing risks to performance, scalability, and security, hindering its operational efficiency. Modernizing the applications was highly complex and time-sensitive due to the absence of the original developers, sparse documentation, limited internal resources, and strict budget constraints.

The Solution

Highspring applied an AI-augmented engineering approach to accelerate delivery and boost code quality throughout the modernization process. Intelligent tools enabled the team to analyze the legacy architecture, generate detailed migration blueprints, and direct the rewrite of applications from Vue 2 to Vue 3.

A lean, collaborative team of two senior engineers led the work, with AI-powered tools enhancing efficiency with each sprint. This approach was progressive, applying lessons iteratively to strengthen security, expand test coverage, and improve long-term maintainability. Detailed architecture walkthroughs and automated code insights kept stakeholders informed and aligned, allowing the project to be successfully executed with zero disruption to business operations.

Our Impact

The partnership delivered measurable results, transforming the restaurant chain’s internal technology and laying the foundation for future growth. Key achievements included:

  • 60% faster delivery compared to traditional modernization approaches 
  • All five apps migrated to Vue 3 with zero downtime 
  • Over 85% unit and end-to-end test coverage—when none existed before 
  • Eliminated high-severity vulnerabilities, achieving full security compliance 
  • Improved performance and load times across all modernized apps 
  • Developed a repeatable migration playbook for future modernization projects 
  • Established architectural documentation for long-term maintenance 

This AI-augmented approach solved the client’s immediate modernization challenges and established a scalable, secure, and high-performing foundation for the future.