Systems | Development | Analytics | API | Testing

An API allows communication between different systems, and like any other software, it requires clear instructions so developers can use them effectively. Clear and comprehensive API documentation helps developers understand how to use APIs in their applications. API documentation tools simplify creating detailed reference docs, tutorials, and API documentation. These tools assist in documenting REST, SOAP, or GraphQL APIs effectively. They produce comprehensive API docs that support developers.

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.

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.

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.

API testing is a vital part of the development lifecycle. In this comparison piece, you’ll compare Speedscale and Smartbear ReadyAPI and show where they stand in terms of API testing.

Feedback loops are key to what we do as developers. They inform us and allow us to learn from our users’ past and present behaviors. This means we can work toward proactive development based on our reactive past. Proactive Programming vs. Reactive Programming Proactive programming pushes the concept of isolating variables that might be easy to mitigate. The idea is to eliminate problems before they become problems.

We all know the why it’s important to write clean, reliable code. But let’s face it, catching bugs before they wreak havoc on our applications can feel like chasing after a greased weasel. That’s where testing frameworks come in, acting as our trusty bug-hunting companions. In this blog, we’ll be putting two popular frameworks – Jasmine and Mocha – head-to-head.

Now-a-days the data needs to be shared across different systems and platforms. One of the most common formats for this data exchange is JSON (JavaScript Object Notation). Understanding how to properly handle special characters in JSON is crucial for ensuring data integrity. In this blog, we’ll explore JSON escape and unescape, explain their importance. So let’s get started!