InfoQ - Transcripts

Presentation: Producing the World's Cheapest Tokens: A How-to Guide

Meryem Arik — Tue, 11 Aug 2026 10:05:00 GMT

Meryem Arik discusses strategies for designing low-cost LLM inference architectures for high-volume, non-real-time workloads. She explains how software architects and engineering leaders can achieve order-of-magnitude cost reductions by making critical trade-offs across hardware, inference runtimes, speculative decoding, and smart queue reordering.

By Meryem Arik

Presentation: Leveraging Adversary Emulation for GenAI Red Teaming

Kennedy Torkura — Mon, 10 Aug 2026 09:32:00 GMT

Kennedy Torkura discusses practical GenAI red teaming techniques to safeguard LLMs and knowledge bases against security threats like data poisoning and LLMjacking on AWS. He explains how engineering leaders and architects can bridge traditional cloud security with MITRE ATLAS frameworks to proactively identify vulnerabilities, implement guardrails, and secure production AI applications.

By Kennedy Torkura

Presentation: Keeping ChatGPT Fast as AI Development Accelerates

Martin Spier — Sat, 08 Aug 2026 09:00:00 GMT

Martin Spier explains how agentic workflows dramatically increase code change volume at OpenAI. He discusses the hidden systemic performance costs of rapid shipping beyond GPUs, and shares how deploying always-on AI agents automates profiling, regression detection, and continuous optimization to maintain product speed and scalability at massive global scale.

By Martin Spier

Presentation: Rewriting All of Spotify's Code Base, All the Time

Jo Kelly-Fenton, Aleksandar Mitic — Fri, 07 Aug 2026 11:00:00 GMT

Jo Kelly-Fenton and Aleksandar Mitic explain how Spotify created "Honk," an AI coding agent, to handle complex fleet-wide codebase migrations. They share key architectural insights on decoupling CI verification runtimes from AI agents, dealing with automated pull request bottlenecks, and driving aggressive standardization across thousands of engineering repositories.

By Jo Kelly-Fenton, Aleksandar Mitic

Presentation: From ms to µs: OSS Valkey Architecture Patterns for Modern AI

Dumanshu Goyal — Thu, 06 Aug 2026 09:34:00 GMT

Dumanshu Goyal discusses optimizing data layers for low-latency workloads like AI feature stores. Drawing lessons from NASA's Space Shuttle, he explains how proxy architectures introduce hidden CPU costs, elevated tail latencies, and blast-radius risks. He demonstrates how direct-access Valkey architectures achieve microsecond latency, improve resilience, and slash infrastructure costs.

By Dumanshu Goyal

Presentation: Automatically Retrofitting JIT Compilers

Laurence Tratt — Wed, 05 Aug 2026 11:00:00 GMT

Laurence Tratt discusses yk, an open-source meta-tracing JIT compiler framework. He shares how to automatically speed up C-based language interpreters like Lua and MicroPython with minimal, non-invasive code changes. He explains the inner workings of tracing loops, optimizing compiled traces using developer hints, and managing complex deoptimization back to the interpreter.

By Laurence Tratt

Presentation: The Five Stages of AI Maturity in Engineering Organizations - Where and Why Teams Get Stuck

Lizzie Matusov — Tue, 04 Aug 2026 16:00:00 GMT

Quotient CEO Lizzie Matusov explains why soaring AI spend often fails to improve software delivery. She presents a research-backed AI maturity framework designed to help engineering leaders move beyond vanity metrics like token usage, align organizational AI adoption, and address critical bottlenecks across the software development life cycle to deliver measurable business outcomes.

By Lizzie Matusov

Presentation: Microservices Platforms: When Team Topologies Meets Microservices Patterns

Chris Richardson — Tue, 04 Aug 2026 11:45:00 GMT

Chris Richardson discusses leveraging Team Topologies and internal platforms to accelerate microservices delivery. He explains six key platform patterns - from security and observability to build and deployment - and shares strategies for minimizing cognitive load on stream-aligned teams while avoiding common platform engineering pitfalls.

By Chris Richardson

Presentation: Architecting AI Systems for the Messy Reality of Enterprises: Why Agentic Compute is the Missing Layer

Arun Joseph — Mon, 03 Aug 2026 08:08:00 GMT

Arun Joseph shares real-world insights on scaling enterprise agentic platforms like Deutsche Telekom’s LMOS. He discusses bridging organizational fault lines, replacing tool sprawl with core platform abstractions, and moving beyond basic chatbots to operational intelligence systems through ephemeral agents and an Agent Definition Language (ADL).

By Arun Joseph