@SmartBear and @googlecloud are reimagining mobile testing with GenAI.
SmartBear’s no-code automation tool, Reflect, now leverages Gemini 2.5 Flash to deliver reliable mobile app testing at speed – giving teams quality and confidence without the usual testing headaches.
We've been getting a lot of questions about how Rovo works with Zephyr, so Matt Bonner, Solutions Architect at SmartBear, gives a quick look at a few of the capabilities teams are finding most valuable.
Check it out: bit.ly/3RokS7H
Traditional automation wasn't built for every application.
Enter a new capability for TestComplete: vision AI for object detection, helping teams automate testing across highly visual applications.
bit.ly/3QgWNiJ
The gap between what's built and what's intended is widening.
The orgs closing it aren't testing more, they're thinking more systemically.
That's application integrity in the AI era. bit.ly/4mlTW3N
What stood out most at Atlassian Team '26? QA is now a connected, intelligent part of how teams deliver software.
Plus: proud moment being named Atlassian Partner of the Year 2026: AI Innovator 🏆 bit.ly/3RokS7H
93% of teams are already using AI-generated code.
As AI speeds up development, QA can lose visibility fast. SmartBear Reflect QMetry help teams scale automation while maintaining application integrity and release confidence.
🎥 See it in action: youtube.com/watch?v=tQ_XWuC8…
Building at AI speed shouldn’t mean compromising quality.
ReadyAPI’s new AI test generation helps teams create API tests up to 80% faster, freeing teams to focus on complex logic, edge cases, and the work automation can’t replace.
Demo: bit.ly/42G5rtO
In case you missed it: From the Bear Cave 🎥
Scripted automation can’t keep up with modern development velocity. So what does?
Find out more: bit.ly/4vY7RkV
As AI accelerated software development, “we weren’t seeing the same attention being paid to quality,” says Fitz Nowlan, VP of AI and Architecture at SmartBear.
Great conversation on AI-native QA and application integrity with @SoftwareDaily.
🎧 bit.ly/3P3F0Lu
“Are we ready to ship?”
Still one of the hardest questions to answer.
This video shows how teams go from unclear coverage to ready-to-run test cases in one session (without leaving Jira).
Worth a watch: youtube.com/watch?v=-lmq1xUt…
70% of teams are already seeing quality degrade with AI-generated code.
Preview from our "From the Bear Cave" YouTube series with Dan Faulkner Kelly Wenzel: bit.ly/3QE0qz0
Full episode drops next week ▶️
Introducing a revamped Swagger Catalog for API discovery and lifecycle tracking, contract testing with drift detection, and automated governance with policy enforcement.
Built for AI-speed development without sacrificing quality or control.
More: bit.ly/4clTrBZ
AI is speeding up development, but reducing visibility.
More speed → more chaos
More abstraction → less clarity
Now it’s not just about testing functionality, it’s about validating intent.
How do you ensure application integrity at AI speed and scale? bit.ly/4mlTW3N
API quality isn’t a testing problem, it’s a release confidence problem.
We’re breaking it down in Demo Den, our 20-min, demo-first series (April 16): bit.ly/4meQBDo
There’s a quiet shift happening in software development.
AI is enabling teams to build at unprecedented speed, but quality isn’t scaling with it.
Vineeta Puranik, CPTO at SmartBear, explores why testing is falling behind and what autonomous QA changes: bit.ly/4tdDrcN
“Shift left” worked...until it didn’t.
AI is speeding up software development – and exposing cracks in how we approach quality.
More from Dan Faulkner, CEO of SmartBear: bit.ly/4tiPjcK