Systems | Development | Analytics | API | Testing

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Mastering Contract-First API Development: Key Strategies and Benefits

Contract-first API development involves defining the API contract before any coding begins. This method ensures all teams are aligned on the API’s structure and functionality from the start. In this article, we’ll delve into what contract-first API development is, its benefits, and how to implement it effectively.

Effective Swift Error Handling Techniques for iOS Developers

As programmers we know that, despite our best efforts, we’ll never be able to completely eliminate errors from our apps. The sheer complexity of modern apps, not least the reliance on dynamic (often third-party) inputs, means errors are inevitable and error handling (exception handling) is crucial to user experience.

The 6 Best API Generation Tools in 2024

80% of organizations use APIs, highlighting the significant adoption rate and an upward trend for greater API usage. APIs can be important for businesses, but creating them from scratch is complex. With the advent of various API generation tools, the task of developing APIs has been simplified. API generation tools automate the creation process of an API based on existing code and specifications, such as pre-defined data sources, functionalities, and access control.

What Is API Security? 7 API Security Practices

Application Programming Interface (API) security is the practice of protecting APIs from attacks. Like databases, servers, and networks, APIs are susceptible to attacks from hackers looking to gain access to sensitive data. Since APIs are more commonly used — to the extent that they’ve become a fundamental part of modern applications — they’ve become a popular target for hackers.

How GenAI is Transforming Software Testing in DevOps

In today's fast-paced software development environment, the integration of AI into DevOps revolutionizes the way teams approach testing. AI, particularly GenAI , proves to be a game-changer, offering unprecedented efficiency and accuracy in software testing processes. By automating repetitive tasks and providing actionable insights, AI is not only enhancing the quality of software but also accelerating deployment cycles.