Why APIs Break in Production and Why We Still Test Them Manually

The widespread use of APIs in software development has created a complex web of dependencies, making it increasingly challenging to ensure their stability and reliability. As a result, developers are forced to rely on manual testing to identify and fix issues that arise in production, a time-consuming and labor-intensive process that can lead to costly delays and downtime.

The ongoing struggle to maintain API reliability highlights the limitations of automated testing tools, which often fail to account for the nuances and edge cases that can cause APIs to break in production. As software development continues to evolve, we can expect to see new approaches to API testing and maintenance emerge, potentially incorporating machine learning and other advanced technologies to improve detection and mitigation of issues.