Artificial Intelligence (AI) technology has been transforming industries and our day-to-day lives alike. Its undeniable impact has led to significant effort and investment into making AI more accessible to everyone, everywhere. Open-source AI technology and AI APIs are two examples of our commitment to AI democratization. AI APIs democratize AI by providing access to pre-trained AI models, even for developers without extensive machine learning expertise.

Quality Assurance or QA automation has become a game-changer in the software development process. Since it involves the use of automated tools and frameworks to execute tests on a software application before it is released into production, it ensures that the software meets the specified requirements and works as expected across different platforms and environments.

Every slowdown in your application can be traced to specific components like a database or an API, and quickly identifying the source aids the troubleshooting process. But when an API is underperforming, it may be difficult to tell whether the issue is with the API logic itself or an external service like a database that it interacts with before sending responses.

Modern application development and IT infrastructure depend heavily on the use of APIs (Application Programming Interfaces) and API Management. APIs offer a standard set of rules for systems and applications to connect and interact. Whether you are integrating a new application into an IT infrastructure or connecting the modular components of a microservices-based application, APIs are one of the fastest and most cost-effective ways to establish those connections.

Interoperability is one of the main reasons to reverse engineer APIs. Unlike a few decades ago, when software could exist in isolation, nowadays, a program runs on a complicated operating system and involves communication with several libraries created by different people. Reverse engineering APIs for interoperability involves API integration and learning new ways in which programs can exchange and use information.

Since it was created by Facebook in 2012 and made publicly available in 2015, GarphQL has changed everything about how we fetch data from servers for our front-end apps. Most front-end clients typically use REST APIs to retrieve data from the server, this includes mobile apps for platforms like Android, iOS, and Flutter, as well as JavaScript frameworks like React, Angular, Vue, and Next. A huge advantage of GraphQL is that it enables front-end clients to request only the API they require.