Mobile banking has become integral to our daily lives, offering unparalleled convenience and accessibility. However, as the usage of mobile banking apps continues to grow, so do the threats from cybercriminals. In a world where personal and financial data is at risk, mobile banking apps must prioritize security. In August 2021, US-based T-Mobile experienced a cyberattack where a 21-year-old stole data from approximately 50 million current customers and potential prospects.

“It’s no use! I can’t run an end to end test with Flutter’s integration tests”, exclaimed one of our customers about 9 months ago. I asked what the problem was and they explained that they were using Google Authentication for logging in and used the google_sign_in package for and it wasn’t possible use Flutter’s integration tests to interact with the login screens.

Exploratory testing is a dynamic, flexible methodology emphasizing simultaneous learning, testing strategy, and execution. Unlike traditional scripted testing, exploratory testing enables testers to actively explore software applications using their intuition, creativity, and experience. By assuming the end-user role, testers interact with the software in real-time, identifying potential issues and uncovering usability problems that scripted tests might overlook.

In today's evolving technology landscape, businesses are increasingly recognizing the potential of migrating legacy systems to the cloud. Even though they are the backbone of many organizations, legacy systems and services deployed via on-premises servers often need help to keep up with modern business requirements. Cloud migration offers a transformative opportunity to enhance scalability, flexibility, and efficiency, while enabling access to a wealth of innovative services.

Generative AI is unlocking new ways to drive innovation, improve productivity and derive more value from data. For organizations to fully capitalize on this potential, it’s critical that everyone — not just those with AI expertise — is able to access and use generative AI.

In November of 2014, when NodeSource was still a small consulting group, my teammates Dan Shaw, Rod Vagg, and I were having dinner after a customer engagement, discussing how to bring Node.js production deployments to the same level of polish and tooling capability of the other runtimes our customers were already employing.

Enterprises see embracing AI as a strategic imperative that will enable them to stay relevant in increasingly competitive markets. However, it remains difficult to quickly build these capabilities given the challenges with finding readily available talent and resources to get started rapidly on the AI journey.