The first step is often the hardest, and in software testing, this is especially true. When presented with a system, how do you go about and decide what to test? Standing in the middle of the unknown, we need guidance, and learning about test case design techniques is a good place to start. In this article, we’ll show you: Let’s dive in!

Did you know that the AI market size is likely to reach USD 826.73 billion dollars by 2030? Yes, you read it right! The use of artificial intelligence can be seen in every field. AI in UX design is bringing about a revolution in the way users interact with technology. Traditionally, UX design relied on designer intuition, manual processes, and labor-intensive user testing. No doubt, the conventional approach had a positive impact on the user experience.

The headless data architecture is an organic emergence of the separation of data storage, management, optimization, and access from the services that write, process, and query it. With this architecture, you can manage your data from a single logical location, including permissions, schema evolution, and table optimizations. And, to top it off, it makes regulatory compliance a lot simpler, because your data resides in one place, instead of being copied around to every processing engine that needs it.

When referring to common types of software architecture, often people refer to the general blueprint or structure that software developers follow when building applications. Relying on common architectural styles makes it easier for project managers and programmers to make products efficiently. Development teams can choose software architecture patterns they know can offer the functionality they need.

What is data fabric architecture? The case for data fabric 4 key facts about data fabric architecture Data fabric architecture can modernize and future-proof your data approach Data fabric architecture is a virtual data layer that connects any number of external systems together to provide unified access and a complete, 360-degree view of an organization’s data. Whether your data lives in legacy systems or multi-cloud environments, a data fabric can connect these systems together for a unified view.

According to Statista, the global number of software developers is increasing significantly and is projected to reach 28.7 million by 2024. The main reason for this growth is the rising demand for skilled technocrats to address the needs of software product engineering in building new-age digital experiences. However, the highly competitive software product engineering demands more than skilled technocrats - it needs the right strategy.y.

We released two big updates to our Sketches feature: a much improved UI and a dedicated link in the navigation bar. You can now visually convey your ideas, designs, and plans effortlessly.

Multiplayer brings every piece of the system design puzzle into a single platform. By integrating with GitHub, GitLab, and BitBucket repositories, we enable users to access, view, and (in the future) modify source code within the context of their platform's design.

An API model acts as a blueprint for building scalable and maintainable software interfaces. In this article, you’ll discover how to design, implement, and validate a robust API model, including the use of AI models. We’ll cover key concepts like API modeling, essential components, user identification, and best practices.

Imagine you're building an e-commerce application. You want to use Django and bring all the benefits of that framework. But there are issues. Django's service-oriented architecture doesn’t play well with the event-driven nature of what you need to build. You need to automatically send a welcome email when a new user registers, instantly update inventory levels when an item is purchased, and notify users when their orders are shipped.