Agents, Autonomy, and the Future of AI in Development Workflows

Closing the AI Quality Gap: Building Agentic Workflows for CI/CD

AI can now generate and refactor code in seconds, but testing, debugging, and monitoring haven’t kept up. Most teams are shipping faster than they can verify software quality.

In this live DZone × SmartBear session, you’ll explore how agentic workflows are closing that gap. Using the Levels of Autonomy framework, we’ll unpack what AI can deliver today, how to build agentic testing pipelines with SmartBear’s MCP Server, and what fully autonomous quality will look like inside your CI/CD workflows in the near future.

See how AI-driven autonomy is reshaping continuous testing, debugging, and monitoring, and what it means for software delivery at scale.

You’ll learn how to:

• Map autonomy in action: Understand where today’s AI technologies sit on the autonomy curve, and how they impact reliability and scalability.
• Apply agentic tech now: Explore real-world workflows that orchestrate tests, detect flaky runs, and feed insights directly back into development.
• Plan for the next wave: Get a first look at autonomous agents that execute, adapt, and collaborate across CI/CD pipelines, driving code-speed innovation without compromising confidence.

See Agentic AI in Action

Bridge the gap between speed and reliability.