Join us this Friday for Session 11 of our weekly Coding Agents Lunch & Learn series, where we’ll explore one of the most important emerging topics in agentic development: observability for coding agents.

As coding agents become more autonomous and deeply integrated into development workflows, understanding how they think, reason, fail, and recover becomes just as important as the code they generate. In this session, we’ll dive into practical approaches for monitoring, debugging, and improving agent behavior in real-world environments.

We’ll also open the floor for a collaborative skills share, where community members can showcase workflows, tools, experiments, or lessons learned while building with AI coding agents. Expect a relaxed, hands-on session filled with demos, discussion, and actionable insights from the community.

Whether you’re actively building agentic systems or just exploring the space, this session is a great opportunity to learn how teams are making coding agents more reliable, observable, and production-ready.

What to Expect

Observability concepts for coding agents
Monitoring workflows, traces, and agent reasoning
Skills share from community members
Live demos, tooling walkthroughs, and experiments
Open discussion around debugging and improving agent performance

Coding Agents Lunch & Learn – Session 11