Launching “AiTest” soon. A Cross-Browser performance testing SaaS platform. Automated but real load testing of your application. Stay tuned!
Building a Modern Mobile and Web Application with Robust CI/CD Automation and AI-Powered Multi-Device Testing
A leading start-up in the online consulting platform domain, this company focuses on connecting end-users with top industry professionals for expert consultation services. Known for its innovative approach and cutting-edge technology, the company aims to provide seamless and efficient solutions for both consultants and clients, ensuring high-quality interactions and problem-solving experiences. Applied AI Consulting has created the modern stack with payment gateway integration for this customer. This case study is focused on quality engineering.
Cross-Platform Compatibility: Building a modern application that supports both mobile and web platforms can introduce challenges in ensuring consistent functionality and user experience.
Testing Coverage: Ensuring thorough and reliable UI and API testing to cover all possible use cases and scenarios, which is crucial for maintaining application quality and reliability.
Automation Integration: Integrating automation testing into the CI/CD pipeline effectively, ensuring that automated tests run seamlessly with each deployment to catch issues early.
Performance and Reliability: Maintaining high performance and reliability of the application across multiple platforms and under varying load conditions.
Accelerating CI/CD Efficiency: From Jenkins to GitHub Actions for Seamless Automation Transforming Development Workflows with
In today’s digital landscape, customer support is critical for brand loyalty. Integrating Generative AI (GenAI)
Developed and Integrated Automation Frameworks: Created a Selenium-Python-based framework for UI testing and a pyTest framework for API testing, integrating them with the CI/CD pipeline.
Executed Cross-Platform Testing: Utilized aiTest for automation across multiple devices, browsers, and versions, including API quality validation with Postman collections.
Enhanced Communication and Visibility: Provided test execution updates and analytics through Slack and email, and demonstrated automation results in end-of-iteration demos.
Achieved very high application quality with minimal defects and ensured a seamless user experience across devices and browsers.
Reduced testing time by 40% through CI/CD integration and automation, leading to faster feature releases and updates.
Decreased testing-related costs by 30% and improved application performance, contributing to higher user retention and scalable growth.
© Copyright 2024 AppliedAIConsulting – All Rights Reserved