Mar 30, 2026

A Typo Led to the Creation of Spring Cloud Contract • Marcin Grzejszczak & Jakub Pilimon • GOTO 2026

Marcin Grzejszczak, a Java Champion and Spring Cloud Contract contributor, discusses how a production-breaking typo led to the creation of Spring Cloud Contract. He outlines an AI-powered future for contract testing, leveraging production traffic and OpenAPI specs to generate and validate contracts automatically. Marcin also emphasizes that 'context' is the most underrated pillar of observability, transforming raw logs, metrics, and traces into actionable insights.

Feb 28, 2026

Open vs Closed Source Agent Infra?

This panel delves into the strategic implementation of open-source, community-driven agentic stacks, balancing the benefits of open-source frameworks and models for rapid iteration, cost-efficiency, and compliance against the complexities of abstraction and debugging in production environments. Experts from NVIDIA, Stacklok, and Prosus discuss when to adopt open source, challenges in framework choice, the critical need for robust observability, and the role of no-code solutions for diverse user groups, emphasizing the importance of aligning tooling decisions with specific use cases and organizational needs.

Feb 23, 2026

Building an Orchestration Layer for Agentic Commerce at Loblaws

Mefta Sadat from Loblaw Digital discusses Alfred, an agentic orchestration layer designed to run AI shopping agents reliably in production. He covers the architecture built with LangGraph and GCP, the role of the Model Context Protocol (MCP) in simplifying API interaction, and practical MLOps strategies for observability, cost management, and ensuring reliability.

Feb 10, 2026

Speed and Scale: How Today's AI Datacenters Are Operating Through Hypergrowth

Kris Beevers, CEO of NetBox Labs, explores the hypergrowth in AI infrastructure, detailing how teams are compressing the design, build, and deployment cycle from years to months. The discussion covers the primary bottlenecks like power and logistics, the critical need for intent-driven automation, and the role of a standardized data model in managing the immense complexity from physical cabling to logical configuration.

Dec 26, 2025

Shipping AI That Works: An Evaluation Framework for PMs – Aman Khan, Arize

This talk provides a practical framework for product managers to move beyond simple "vibe checks" to implement rigorous, data-driven evaluation for LLM-powered products. Using a live demo of a multi-agent AI trip planner, the speaker breaks down essential methodologies, including human feedback, code-based checks, and LLM-as-a-judge systems, and demonstrates how to iterate on both prompts and the evals themselves to ensure consistent quality and build user trust.

Nov 18, 2025

Beyond the Hype: Real Talk on AI-Assisted Development • Jessica Kerr & Diana Montalion

Jessica Kerr and Diana Montalion explore a pragmatic approach to AI-assisted coding, framing AI not as a replacement for developers, but as a powerful tool for automating tedious work like typing, scaffolding, and error handling. They argue that AI's strength lies in executing well-defined, laborious tasks, which frees up developers to focus on the nuanced, high-level work of systems thinking, architectural design, and discerning the right response to complex problems—skills where AI currently falls short.