InfoQ - QCon AI 2025 - Presentations

Presentation: Beyond Prompting: Context Engineering and Memory Management for AI Systems at Scale

Adi Polak — Wed, 10 Jun 2026 12:03:00 GMT

Adi Polak discusses the architecture required to transition from stateless prompts to state-aware, context-rich AI agents. Drawing on 15 years in distributed systems, she shares how engineering leaders can leverage Apache Kafka and Flink for real-time stream processing, dynamic memory tiering, and tool orchestration via MCP to solve token limits, cost spikes, and latency bottlenecks.

By Adi Polak

Presentation: Platform Teams Enabling AI - MCP/Multi-Agentic Tools across Linkedin

Karthik Ramgopal, Prince Valluri — Fri, 05 Jun 2026 12:23:00 GMT

LinkedIn’s Karthik Ramgopal and Prince Valluri discuss leveraging AI as a new execution model for large-scale engineering. They explain how to move beyond fragmented implementations by building platform abstractions for orchestration, structured context, and safe tooling like MCP. They share architectural insights from real-world coding, observation, and UI testing agents built at LinkedIn.

By Karthik Ramgopal, Prince Valluri

Presentation: Choosing Your AI Copilot: Maximizing Developer Productivity

Sepehr Khosravi — Wed, 03 Jun 2026 11:05:00 GMT

Sepehr Khosravi discusses the evolution of developer productivity tools. Evaluating the strengths of tools like Cursor and Claude Code, he explains actionable techniques for senior engineers - including context engineering, custom rules, and Model Context Protocol (MCP) integrations. He shares real-world benchmarks and strategic frameworks for balancing AI adoption with clean code quality.

By Sepehr Khosravi