Systems | Development | Analytics | API | Testing

There is a moment most travel platform teams are now experiencing for the first time. The AI-powered booking assistant is live. The conversational search feature is generating rave reviews from product managers. The personalised itinerary engine is pulling data from a dozen microservices in real time. And then peak season arrives. Response times climb. The AI layer starts queuing. The booking funnel drops. Users abandon. And the engineering team realises something uncomfortable.

According to SmartBear’s Closing the AI Software Quality Gap study, 93% of teams are already using AI to generate code. The same study found that 60% expect AI to produce nearly half of all code within the next year. This shift in development velocity is already impacting software testing and quality. Most teams say application quality is suffering, and 60% have experienced quality issues in the past year because development is moving faster than testing can keep up.

We are launching with this post a new series of blog articles and LinkedIn posts titled "Features Sitting Idle". In this series, we explore key features of OctoPerf that are either misused, misunderstood, or simply unknown to our users. It's time to shine a light on these hidden gems, features that are already there, ready to become a central part of how you test. This is probably the most common situation after a load test.

Lending has always been at the heart of banking. But the way loans originated is going through a quiet but powerful shift. Customers today expect instant decisions. Not in days. Not even in hours. They expect approvals in minutes, sometimes seconds. And they expect this experience to be smooth across mobile apps, web platforms, and embedded finance ecosystems. This is where the cracks in traditional systems start to show. Legacy platforms were never designed for this kind of speed or scale.

AI accelerated software creation. It did not accelerate software trust. QA fragmentation shows up as delayed releases, engineers doing reconciliation work, and a release-readiness signal nobody fully trusts at the moment it matters most.