AI DevSummit 2025 + DeveloperWeek Leadership 2025

Mark Fussell, Diagrid, CEO
Yaron Schneider, Diagrid, Co-Founder / CTO

As developers push the boundaries of AI-driven automation, the challenge of orchestrating and managing autonomous agents at scale becomes increasingly complex. Dapr Agents is an open-source framework that dramatically lowers the creation of production ready agentic systems, powered by the CNCF Dapr's (dapr.io) distributed application runtime, used by thousands of enterprises today in mission critical services. By combining LLM-driven reasoning with Dapr’s virtual actor model, pub/sub messaging, and stateful workflows, Dapr Agents enables developers to build intelligent, scalable, and fault-tolerant multi-agent systems.

This talk will provide a deep dive into Dapr Agents, demonstrating how it facilitates structured LLM interactions, tool selection, memory retention, and event-driven communication. We'll explore practical use cases, from task automation to collaborative agentic workflows, and discuss best practices for designing real world, robust agent-based architectures. We will also compare different agentic frameworks in use today and show how many of them only address a few of the requirements needed to go into production environments. Attendees will gain hands-on insights into implementing Dapr Agents for real-world applications, optimizing performance, and seamlessly integrating with existing cloud-native infrastructures.

If you're interested in building intelligent, scalable, and resilient agentic systems, this session will equip you with the knowledge to easily build these.

Logan Ramalingam, Google Cloud, Head of AI Solutions

This session will talk about practical agent usecases for the enterprise.
 

Rob Whiteley, Coder, CEO

With great power comes great responsibility—and yes, coding agents can backfire if they’re not thoughtfully deployed. Instead of boosting productivity, they can frustrate developers, slow down progress, and even diminish your competitive edge.

Join Coder CEO, Rob Whiteley, as he unpacks three essential strategies organizations should embrace when scaling agentic coding agents enterprise-wide. Drawing from firsthand lessons and internal experiments—where agents effectively resolved nearly half the tasks we threw at them—we’ll share real-world scenarios showcasing engineering work AI agents excelled at. We’ll also highlight where they fell short, detailing what went wrong and what we’d do
differently next time.

You’ll walk away understanding:

* How realistic expectations ensure AI boosts rather than hinders productivity.
* Why effective human-agent collaboration is critical for developer satisfaction and innovation.
* How clear governance frameworks can prevent technical debt and keep productivity flowing.

Learn from our experiences and ensure your organization’s deployment of AI coding agents empowers your developers, ignites innovation, and solidifies your market leadership.