Systems | Development | Analytics | API | Testing

Today’s software ecosystem consists of various devices, integrations, and user environments. The same application can have different behaviours in each environment, regardless if it had passed through unit, integration and system testing stages. Therefore, beta-testing is necessary. Beta testing is the bridge between an internal QA team and a company publicly launching its application.

Another year is wrapping up, and we’re taking a moment to reflect on what made 2025 a defining year for Kong. With major advances in building the AI connectivity layer and soaring enterprise adoption of agentic systems, this year sparked a hockey-stick surge in demand for the infrastructure that powers intelligent agents. Below is a rundown on the updates, the innovations, and the moments that moved the industry in one year-end recap.

Every digital experience we rely on – from booking cabs to transferring money — runs on dynamic, interconnected software systems. The speed at which applications are evolving is much faster than the traditional test approach can keep up with. Manual scripting breaks whenever there is a change to the user interface; automation will require regular maintenance to fix the automated scripts; and teams are continually losing confidence in the release stability.

2025 underscored a simple reality: APIs are now expected to serve both human developers and intelligent systems, and the tools supporting those APIs must evolve just as quickly. Major cloud providers (OpenAI, Google Cloud, Azure, AWS, Hugging Face, Cohere, etc.) now earn significant revenue by exposing their capabilities via APIs, which are then chained by other AI systems to build chatbots, copilots, and autonomous agents.

Modern software development moves fast. Delivering bug free code is no longer just a goal. It is a requirement. But how do you ensure your code works before you even finish writing it? The answer is TDD, or Test Driven Development. In this guide, we will answer what is TDD, explore how it transforms the development lifecycle, and share practical examples you can apply immediately.

Extensibility is conceptually found in the areas of technology (such as Software Development) and System Design. The term extensibility may seem abstract to someone with no previous background in the field; in particular, when you hear phrases like: “Extensible Software”, “Extensible Architecture”, “Extensible API” or “Extensible Testing Tools”, it could be difficult to understand exactly how these would apply in day-to-day experiences.

Modern software development is continuously operating in a high-paced environment with high-pressure expectations to produce quality applications. To meet this expectation, open source automation tools help provide a faster, smoother testing process for today’s applications by providing a single tool to test all layers, including web, mobile, API, and performance.

As we close out 2025, it's time to reflect on the hard lessons learned from deploying AI agents in production environments. The promise of AI agents is compelling: autonomous systems that can handle complex tasks, make intelligent decisions, and execute actions on our behalf. But as several high-profile incidents this year have starkly demonstrated, this autonomy comes with unprecedented risks when proper identity and access management controls are absent.