The AI-Native Engineering Stack

Build AI-Native Software: The Skills, Systems and Guardrails That Matter

Live on September 30, 2026 | 15:00 - 22:15

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🇬🇧 English

Building the AI-Native Future

Artificial intelligence is changing how software is built, operated, and connected. As AI takes over more routine development tasks, engineers need to rethink their skills while applications must support safe collaboration between humans and AI. This live event brings together three perspectives on the technologies and architectural patterns shaping AI-native software development.

From AI-Assisted Development to Connected AI Systems

Across three sessions, you’ll explore how the role of frontend engineers is evolving, how humans and AI agents can share application state, and how MCP and A2A enable intelligent systems to communicate and collaborate. With practical examples and real-world architectures, you’ll discover patterns for building connected, scalable, secure, and production-ready AI applications.

Your expert sessions

15:00 - 15:30 | A Front-end Identity Crisis in the Age of AI | Devin Chasanoff

Explore how AI is transforming frontend engineering, from component design and code review to architecture and team workflows. Learn which skills developers should strengthen to stay effective in an AI native engineering environment.

16:45 - 17:30 | Human + AI Shared State Management: Extending Frontend Patterns into Agentic Systems | Chao Zhang

Explore how AI agents can become first-class participants in application state. Learn practical patterns for shared state, sandboxed execution, deterministic merges, concurrent updates, and observable agent actions using concepts familiar to Angular developers.

21:30 - 22:15 | Building Intelligent Systems with Model Context Protocol (MCP) and Agent-to-Agent (A2A) Applications| Anjaiah Methuku

Learn how MCP and A2A enable context-aware communication between models, tools, and autonomous agents. Explore multi-agent architectures with LangChain and LangGraph, alongside security, governance, and scalability considerations.

Expert Knowledge for

Frontend developers, who want to understand how AI is changing development workflows and required skills
Software architects, who want to design applications where humans and AI agents work together
Development teams, who want to integrate AI into their applications with appropriate security and governance
AI engineers, who want to build scalable systems using MCP and A2A