End-to-end (E2E) testing is an important part of the software development process, serving as a comprehensive way to verify that applications and systems work properly in real-life scenarios. It provides a level of assurance that your application will correctly exhibit behavior from start to finish.
SmartBear is excited to announce the release of SwaggerHub Portal, a feature of SwaggerHub allowing you to customize consumer-facing documentation for your APIs to maximize API discoverability. With its intuitive interface, you can easily create onboarding guides, reference documentation, and other materials that help developers both understand and integrate your APIs into their applications. With Portal, you can easily sync your API designs from SwaggerHub with zero context switching.
In today's rapidly evolving technological landscape, APIs are the backbone of seamless integration and innovation across various software platforms. As businesses and developers strive to create interconnected and efficient applications, having comprehensive and value-driven API documentation and API exploration tools within the same platform is indispensable.
Organizations across all industries are racing to understand large language models (LLMs) and how to incorporate the generative artificial intelligence (AI) capabilities provided by LLMs into their business activities. Thanks to LLMs’ broad utility in classifying, editing, summarizing, answering questions, and drafting new content, among other tasks they are being embedded into existing processes and used to create new applications and services.
Today, APIs are based on modern communication patterns: REST, GraphQL, or gRPC. But two decades ago, the majority of Web Services were developed with SOAP/XML. In this blog, we’ll explain how Kong Konnect can manage SOAP/XML Web Services by creating custom plugins and by using ChatGPT. We’ll cover using ChatGPT to develop a Lua custom plugin and how to deploy and test a SOAP/XML custom plugin on Kong Konnect and Kong Enterprise.
Companies no longer question the importance of data analytics for their business success. With the help of data, brands can predict business outcomes, detect purchasing patterns, track customer behavior, and improve overall decision-making. However, many organizations still struggle with implementing the needed steps for robust data analysis. They often lack the time and expertise to use data to its fullest potential.
