KushoAI Introduces API Testing Maturity Model to Help Enterprises Navigate the Next Phase of AI-Driven Software Development
As AI transforms the way software is built, engineering teams are releasing code at unprecedented speed. But while software development has evolved rapidly, testing practices have largely remained unchanged, creating a growing gap between software velocity and software reliability.
Addressing this challenge, KushoAI today unveiled its API Testing Maturity Model. This comprehensive framework helps organizations assess their API testing journey and identify the capabilities needed to build resilient, AI-ready software systems.
According to KushoAI, organizations today are not struggling because they lack testing tools; they’re struggling because they lack a structured roadmap for evolving their testing capabilities.
The model draws a distinction most testing programs miss: the difference between how testing is run and what it actually covers. Teams routinely build fast, automated pipelines on top of shallow coverage, passing every check while the cross-field and business-logic bugs that cause real outages go untested.
“The conversation around AI has largely...
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