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.

In this article, we'll talk about our experience implementing a design system at Kong. We'll go over the reasons why we decided we needed one in the first place, where we started, and how we got to where we are today. We'll also cover the technology we used and how it has transformed software development at Kong. Whether you have plenty of experience with design systems or are looking to get started with one, we hope you will find this article helpful and informative.

Data architecture is a structured framework for data assets and outlines how data flows through its IT systems. It provides a foundation for managing data, detailing how it is collected, integrated, transformed, stored, and distributed across various platforms. It also establishes standards and guidelines for data handling, creating a reliable and scalable environment that supports data-driven activities.

Engineering teams need a collaborative tool purpose-built for the complicated and multi-layered system architectures that underpin most companies’ operations.

Minimum Viable Architecture plays a critical role in the success of your MVP. Learn how to avoid the most common pitfalls in implementing this strategic approach.