Agent memory and context engineering alongside running local LLMs and workstation agents.
Accessible with the Engineering + Workshops pass and above.
As AI agents take on increasingly complex development tasks, the critical challenge has shifted from generation to verification. A growing body of evidence suggests that as models grow more capable, failures become more frequent and more convincing, making cognitive surrender among human reviewers an acute risk. This talk introduces Sonar's Agent Centric Development Cycle (AC/DC), a three-stage continuous loop of Guide, Verify, and Solve, as the engineering discipline teams need to build now. Teams that embrace AC/DC guide agents within their organizational standards before they write a line of code, verify output in real-time, and solve issues automatically without manual triage. This session will also feature a live demo of the SonarQube OpenAI plugin, showing how a well-guided agent produces code that is faster to verify and cheaper to fix.