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Discover cutting-edge technologies and methodologies in tech texts authored by Levi9 experts.
Discover how a data engineer with no ML experience built predictive models using Microsoft Fabric and Azure ML Studio AutoML.
Deploying a React Native app to app stores can be time-consuming and error-prone. Fortunately, Expo Application Services (EAS) offers a powerful toolset that simplifies the entire process — from configuration to submission on both the App Store and Google Play.
In Levi9’s testing practice, AI is reshaping how quality assurance scales and delivers value. Where QA engineers once spent countless hours manually creating test cases, analyzing requirements, considering edge cases, and ensuring proper functionality and reliability, artificial intelligence is now stepping in to automate this critical but time-intensive process.
This article explores key leadership skills that help engineers drive impact beyond code by strengthening collaboration, trust, and team ownership.
AI adoption is accelerating, yet one of the toughest questions businesses face is: how do we evaluate its performance and trustworthiness? At Levi9, we tackle this challenge by combining technical expertise with practical experience to ensure AI systems create measurable value.
Discover how AI-powered accessibility testing transforms compliance with WCAG 2.2 standards. Automate audits, prioritize issues, and reduce testing from weeks to hours.
In this part of the article, you’ll learn how to use a GitOps approach with ArgoCD to automate your Kubernetes deployments.