Omkar Pimple

Shipping a mobile app should be fast—but too often, release cycles are slowed by manual testing, last-minute bugs, and coordination overhead. The challenge: how do you move faster without compromising quality? In this roundtable, we’ll discuss how AI tools are reshaping the way Flutter teams approach testing, QA, and release management. From automated test generation and release readiness checks to smarter CI/CD workflows, we’ll explore what’s possible—and what’s still risky—with AI-enhanced pipelines. Whether you're releasing weekly or monthly, this is a space to share strategies for moving faster with more confidence. What’s your current release cadence—and what are the biggest blockers to speeding it up? Have you experimented with AI tools for automated testing, bug detection, or release validation? What worked well (or didn’t)? What metrics do you track to understand the health and speed of your release pipeline? How do you build trust in AI-assisted testing or QA workflows, especially for critical features or high-risk deployments? Where do you draw the line between automation and manual oversight in your release process?