SmartBear

@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.

Faster testing is only part of the story. Monday.com increased test coverage, reduced manual effort, and achieved 0% UI errors in production with Reflect. Learn how: reflect.run

💡 Pull request tip: Have AI review your code before your teammates do. With Git history, Jira context, and CI checks, it can generate structured, approval-ready fixes that help shrink review cycles.

What separates an API that works from one that's built to last? Scott Kingsley joined @SERadio to explore API design, OpenAPI, contract testing, MCP, and why strong API foundations become even more important in the age of AI. 🎧 Listen: bit.ly/4eXVlKr

AI agents write code faster than you can review it. 💡 The real bottleneck is knowing what to build before you start. Check out this tip from Senior Software Engineer Josh Ellis.

"AI will replace humans" is a Luddite fallacy, now rebranded for the AI age. SmartBear CEO Dan Faulkner explains why AI is creating new work, not eliminating it: bit.ly/4aQs5nC

📣 Customer milestone: COCC is the first enterprise customer to deploy the integrated capabilities of QMetry and Reflect, connecting AI-driven test automation with enterprise test management in a single workflow to help maintain application integrity. bit.ly/4uPzPgI

AI agents are the most fragile API consumers you have right now. Contract breaks for a microservice = clean error. Contract breaks for an agent = weird behavior. Wrong outputs. Silent failures. Swagger Contract + Kiro closes that gap. bit.ly/4aIIURp

The best tools don't force teams to change how they work. They fit into the workflows, processes, and environments teams already have. bit.ly/3PLXakN

What would you do with 75% more time? For the team at Follett Software, BearQ is already changing what's possible. bit.ly/4edRaJZ

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_XWu…

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=-lmq1x…

60% of teams are already seeing quality issues from AI-generated code. ▶️ We get into why in this From the Bear Cave episode: bit.ly/4vY7RkV

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 ▶️