InfoQ - Transcripts

Presentation: What I Learned Building Multi-Agent Systems From Scratch

Paulo Arruda — Wed, 13 May 2026 12:01:00 GMT

Paulo Arruda discusses Shopify’s evolution in AI adoption, moving from simple chat tools to a sophisticated swarm of specialized agents. He explains the transition from massive "all-in-one" prompts to lean, narrow-focused agent microservices that slash task times from hours to minutes. He also shares a future-looking hypothesis on using filesystem-based adapters to solve context bloat.

By Paulo Arruda

Presentation: Beyond Coding: How Senior ICs Grow Influence and Drive Impact

Kasia Trapszo — Tue, 12 May 2026 13:00:00 GMT

Netflix’s Kasia Trapszo discusses the transition from writing code to scaling organizations. She shares lessons on building trust through technical clarity, aligning teams to solve the "right" problems, and using intentional documentation to scale your judgment. Learn how to move beyond individual output to create a lasting architectural legacy that empowers others to make better decisions.

By Kasia Trapszo

Presentation: Evolution of a Backend for a Streaming Application

Daniele Frasca — Mon, 11 May 2026 11:45:00 GMT

Daniele Frasca explains the architectural evolution of Joyn, a German streaming giant. He discusses moving from fragile single-node setups to resilient serverless architectures using AWS. He shares insights on the Hub and Spoke pattern for data consistency, cell-based isolation to reduce blast radius, and cost-optimization strategies for achieving affordable multi-region active-active setups.

By Daniele Frasca

Presentation: Leadership in AI-Assisted Engineering

Justin Reock — Fri, 08 May 2026 12:40:00 GMT

Justin Reock discusses the reality of AI’s impact on engineering, moving past anecdotes to hard data from DORA and DX research. He explains the "GenAI Divide" - where 95% of pilots fail - and shares how leaders can use the SPACE and Core 4 frameworks to measure true ROI. He explains how to balance speed with quality, reduce developer fear, and apply agentic solutions across the entire SDLC.

By Justin Reock

Presentation: Engineering at AI Speed: Lessons from the First Agentically Accelerated Software Project

Adam Wolff — Thu, 07 May 2026 14:07:00 GMT

Adam Wolff discusses the evolution of Claude Code, explaining how AI shifts the SDLC bottleneck from implementation to architectural decision-making. He shares three "war stories" to show why dogfooding and rapid unshipping are vital. He explains that when coding costs drop to zero, the speed of learning becomes the only competitive advantage.

By Adam Wolff

Presentation: AI-First Software Delivery: Balancing Innovation with Proven Practices

Wesley Reisz — Wed, 06 May 2026 11:12:00 GMT

Wes Reisz discusses the shift toward AI-first software delivery, emphasizing that agentic workflows are not one-size-fits-all. He explains a strategic two-by-two model based on code longevity and automated verification to decide between supervised and unsupervised agents. He shares the RIPER-5 framework - Research, Innovate, Plan, Execute, Review - to amplify engineering discipline.

By Wesley Reisz

Presentation: How Netflix Shapes our Fleet for Efficiency and Reliability

Joseph Lynch, Argha C — Tue, 05 May 2026 14:00:00 GMT

The speakers explain the inherent tension between service efficiency and reliability at Netflix's global scale. They share a mental model for "risk-adjusted net value," moving beyond simple CPU utilization to focus on capacity buffers. They discuss hardware shaping, proactive traffic steering, and reactive levers like "hammers" and prioritized load shedding to protect critical playback.

By Joseph Lynch, Argha C

Presentation: The Human Scalability Problem: Why Your Teams Don’t Scale Like Your Code

Charlotte de Jong Schouwenburg — Mon, 04 May 2026 12:40:00 GMT

Charlotte de Jong Schouwenburg discusses the "human bottlenecks" of hyper-growth. While systems scale, human cooperation often breaks down due to communication overload and lost context. She shares proven tools for behavioral scalability - including communication architecture and "engineering trust" - to help leaders maintain high-performing, autonomous teams without sacrificing speed or culture.

By Charlotte de Jong Schouwenburg