View all Resources

webinar

From AI chaos to agentic QA

By submitting this form, you agree to our Terms of Use and Privacy Policy

Duration

60 minutes

Presenters

Kelly Wenzel

Chief Marketing Officer

SmartBear

Bridges Smith

VP of Product Management for AI

SmartBear

Vineeta Puranik

Chief Product & Technology Officer

SmartBear

Andy Weir

Software engineer & best-selling novelist

10x faster coding. Same QA. Until now.

You’re coding faster with AI. But if your agents are siloed and disconnected, those gains aren’t yet showing up in your quality or delivery – it’s getting lost in the handoffs.

Watch for a demonstration of the connected agentic SDLC. See how BearQ extends beyond creating tests to coordinating quality work across Jira, and AI-powered workflows – detecting issues, triggering the right next action, and carrying context from one agent to the next.

The Story Behind The Code

Every new frontier needs a new map. As development pushes into uncharted territory, we’ll explore what comes next with special guest Andy Weir – bestselling author of Project Hail Mary and The Martian, former software engineer, and someone who’s spent his career imagining what happens when people, technology, and complex systems are pushed into the unknown.

Portrait of Andy Weir

Featured guest speaker

Andy Weir

Former software engineer and bestselling author of Project Hail Mary, The Martian, and Artemis

YOU MAY ALSO LIKE

Inside the SmartBear Roadmap: Quality for your software assembly lines

Inside the SmartBear Roadmap: Quality for your software assembly lines

Software delivery can often feel like operating an assembly line. Yours might have specific auditability or data residency requirements because you’re operating in regulated environments. Maybe your “assembly line” is being disrupted by how AI is changing how you write and test code. A growing number of organizations are including autonomous agents in their “assembly

December 3, 2026

Broken telephone: Fix data loss between REST, Kafka, and MCP

Broken telephone: Fix data loss between REST, Kafka, and MCP

You know the game where a message gets whispered down a line of people and comes out the other end completely different? Your APIs play something like that every day. A single transaction passes through REST, GraphQL, gRPC, and Kafka, and more and more often, it reaches an AI agent at the end of

November 10, 2026

Stop finding bugs at the finish line: Pick the right automation tool for your team

Stop finding bugs at the finish line: Pick the right automation tool for your team

More than half (54%) of delivery teams regularly push AI-generated code informed by specifications that have not been reviewed by a human, according to SmartBear’s State of Software Quality and Testing 2026 report. This creates a critical misalignment between design and delivery. The checks that do happen tend to cluster near release, when bugs take

November 17, 2026

Webinars Whitepapers eBooks Case Studies

Explore all resources