With just two months to go until the deprecation date for Microsoft Visual Studio App Center, it might feel like there’s a mountain to climb. However, with a clear plan and the right resources (spoiler alert: free templates here or at the end of this post), you can turn this challenge into a success story. Let’s get going.

In the ever-evolving landscape of data streaming and processing, securing and efficiently connecting services has become paramount as it ensures the integrity, confidentiality, and availability of data amidst increasing threats and complexity in cyber environments. Effective security measures must protect against data breaches and losses, fostering trust among stakeholders and complying with legal and regulatory standards.

By using a continuous quality approach, retailers can build high-converting mobile apps that shoppers will love.

Pickers enable Android developers to minimize error-free input and optimize everyday features of their apps, such as date selection, delivering crucial gains in user experience. Users can validate input data by pressing a single button, and ensure structured input without any typing errors (in fact users don’t need to type an input at all). And we can customize the picker to our specific needs, creating better UI for our users.

Advances in medical robotics and healthcare technology — enabled by the Internet of Medical Things (IoMT), Machine Learning (ML), and Artificial Intelligence (AI) — mean that we are already seeing less invasive procedures, more accurate diagnoses, and more personalized treatment options for patients. But these innovations depend on software which brings increased safety and security risks.

Using a mock server is a popular method of working around these limitations and realities, allowing you to test web server assets against specific requests, ensuring that your response data matches the expected outcome. Today, we’re going to look at a powerful solution for Python clients in the form of MockServer. We’ll walk through the tool’s basics and learn how to use it for your own testing.

In today's rapidly evolving software development landscape, the Rise of AI in Software Engineering and the integration of artificial intelligence into testing processes has become increasingly crucial. As organizations embrace shift-left testing practices, the combination of AI coding assistants and robust test management tools has emerged as a game-changing approach for QA professionals and software developers.

Across all industries, generative AI is driving innovation and transforming how we work. Use cases range from getting immediate insights from unstructured data such as images, documents and videos, to automating routine tasks so you can focus on higher-value work. Gen AI makes this all easy and accessible because anyone in an enterprise can simply interact with data by using natural language.

The responsibilities of an API product manager varies depending on the organization and industry they work for, among various other factors. However, the common set of tasks they carry out include managing the diverse user needs, ensuring reliability, and aligning API strategies with organizational goals. Performing these duties requires a delicate balance. In addition, API product managers face increasing challenges as APIs evolve into strategic business drivers.

To stay ahead in technology innovation, you need more than just solid software; you need a product that stands out. Your business needs quality testing support no matter what digital platform you launch so get familiar with your options. The USA holds several top-rated software testing companies dedicated to outstanding quality testing methods.