QA and Testing in the Era of Agentic Software Development​

Rethinking quality when AI writes the code

AI helps teams ship more code, faster than ever. Testing capacity hasn’t kept up. Scripted automation breaks with every change, green pipelines hide untested behavior, and QA teams spend more time repairing tests than protecting quality. The bottleneck has moved from writing code to trusting it.

SmartBear BearQ™ is SmartBear’s autonomous QA system built to keep pace with AI speed development. BearQ agents explore your application like a real user, generate tests from your requirements, surface the issues that matter, and keep your team in control of every decision.

See how quality keeps up with AI, then try BearQ yourself

Watch this session from the Business Applications Innovation Summit. Vineeta Puranik, Chief Product and Technology Officer at SmartBear, explains why quality can’t stay a downstream activity once AI writes the code. Bridges Smith, VP of Product Management, then shows BearQ moving from exploration to generated tests to actionable issues. Start a trial and follow along. Get started here >

What you’ll see:

• Why the bottleneck has shifted from developer capacity to validation capacity
• The AI velocity paradox, and why more code doesn’t mean more productivity
• How BearQ’s QA lead, explorer, and tester agents work together
• Tests generated from exploration, Jira requirements, or plain language descriptions
• Governed self healing and human approval before tests enter regression
• Issue reports with steps to reproduce, evidence, and full agent audit logs
• CI/CD, GitHub, Jira, Linear, and MCP integrations

What you’ll take away:

You’ll leave with a clear view of how AI is changing software quality, why confidence is the new metric that matters, and how autonomous QA fits into a modern engineering workflow. You’ll also know whether BearQ is the right fit for your team’s testing strategy.

After watching, start your BearQ trial and see what it finds in your own application.

Who should watch

This session is designed for engineering and QA leaders who need quality to keep pace with AI powered development.

It’s especially relevant for VPs of Engineering, Directors of QA, QA Team Leads, SDETs, and engineering leaders responsible for release confidence, test coverage, and reducing automation maintenance.