Systems | Development | Analytics | API | Testing

When exploring common types of software architecture, it’s important to understand the foundational patterns that drive modern application development. Software architecture patterns like MVC, client-server, microservices, and event-driven models help teams build scalable, maintainable, and robust applications. Software architects have built a broad range of options with varying features.

As organizations continue to adopt AI-driven applications, managing usage and costs becomes more critical. Large language models (LLMs), such as those provided by OpenAI, Google, Anthropic, and Mistral, can incur significant expenses when overused. This blog will explore how you can streamline your AI workloads by leveraging Kong’s token rate-limiting and tiered access features.

Jacob Kaplan-Moss, one of the leading developers and co-creators of the Django Python framework, said: In this article, we are going to discuss Unit Testing. Firstly, software testing, in general, is an important part of software engineering that involves evaluating an application to identify issues before it is released to users. This ensures that the application or software meets the specified requirements and performs as expected.

API latency slows down data transfers, disrupts operations, and hurts user experiences. Want faster APIs? Here’s how you can reduce latency right now: These steps work together to cut delays and improve API performance. Whether you're dealing with real-time data streams or heavy traffic, these tips can help ensure smoother, faster data transfers.

When you write code, how do you know it actually works? You could run the program and click around manually—but that quickly becomes tedious, unreliable, and error-prone, especially as your codebase grows. That’s where unit testing comes in. Unit testing lets you verify that individual pieces of your code—like functions or methods—behave exactly the way you expect.

The Centers for Medicare & Medicaid Services (CMS) has taken a key step toward improving healthcare efficiency and transparency. Under the CMS Interoperability and Prior Authorization Final Rule (CMS-0057-F), payers must offer electronic access to prior authorization (PA) information.

I'm commonly asked by customers for advice on how they can build a good platform cross-charging model for their organization. And my gut reaction is nearly always "don't." We'll come back to why I think that later, but first let's look at what cross-charging means, why you might want it, and how it can be designed.

As AI progresses to shape the future of software development, platforms such as Claude 3.5 Sonnet are making significant strides as programming powerhouses when it comes to coding, debugging, and testing. Created by Anthropic, Claude 3.5 Sonnet has impressed with its streamlined coding process, outstanding reasoning potential, and outstanding context memory.

There are few things that can derail developer productivity and undermine your pipeline like a flaky test. Testing is the backbone of a good development process, ensuring that your code is as accurate and usable as possible. When these tests point towards faulty development, the impacts can be significant. This information is predicated on an assumption, however – the assumption that what the test says is accurate.