The quality of software is a crucial aspect in the success of any development project.
On October 6, the World Bank. On October 20, ECLAC and Chile’s National Center for AI. Two distinct assessments reached the exact same conclusion: the bottleneck lies not in the tool itself, but in the organizational capacity to absorb it. An academic concept originating in 1990 brings order to what today’s numbers describe.
The challenge is not merely implementing AI agents. It is knowing precisely which ones are running, who bears accountability for them, how their outputs are validated, and how swiftly they can be shut down when something fails.
Applying agentic AI to payments requires the exact same level of rigor as any system handling third-party funds—extended to a type of actor that did not exist two years ago: one that decides and executes, rather than merely recommends.

Software quality is a crucial aspect in the success of any software development project. To ensure its functionality, it is necessary to use appropriate tools to identify errors and optimize performance.
Below are the 5 most used tools in software quality:
Test automation tools allow developers to automate desktop, web, and mobile testing more efficiently in terms of time and cost. Selenium, Appium, and Katalon Studio fulfill this function.
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