Debugging is a valuable skill for any software engineer to have. Unfortunately, most software engineers are not trained in it. And that's not just specific to developers going through boot camps; even in universities, we are not often taught and trained to use a debugger. My teachers and mentors were more interested in getting me to write programs rather than debugging them. If we are fortunate, debugging comes at the end of the semester, in a short, last session.

As the digital and physical worlds converge, the businesses of varied sectors are experiencing a seismic shift. While businesses are rapidly changing the ways how they function, however, the increasing customer demands and expectations, are making the need for this shift lightning-fast. Digital transformation in manufacturing industry is a significant trend that is taking place at a rapid pace.

In the world of banking, where customer expectations are continually evolving, and regulatory landscapes are becoming increasingly complex, the integration of intelligent automation stands out as a pivotal solution. Intelligent automation, which combines artificial intelligence (AI) with robotic process automation (RPA), allows banks to streamline operations, enhance customer experiences, and maintain compliance with ever-changing regulations.

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.

Building APIs is a fact of life for most modern developers. When we aren’t building them, we integrate them within our applications. Regardless of how you look at it, modern businesses are built on top of the foundation that APIs have built. They’re the bridges that allow different software systems to talk, share data, and work together seamlessly. But with great power comes great responsibility.

We're excited to unveil the first of many AI-driven features for the Ballerina Copilot platform. With the introduction of the Ballerina AI Data Mapper, we are bringing a new level of smart and seamless integration capabilities powered by cutting-edge artificial intelligence technology.