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Topics

Development

Featured in Development

Stateful Continuation for AI Agents: Why Transport Layers Now Matter

Agent workflows make transport a first-order concern. Multi-turn, tool-heavy loops amplify overhead that is negligible in single-turn LLM use. Stateful continuation cuts overhead dramatically. Caching context server-side can reduce client-sent data by 80%+ and improve execution time by 15–29% .

All in development

Architecture & Design

Featured in Architecture & Design

How SBOMs and Engineering Discipline Can Help You Avoid Trivy’s Compromise

Viktor Peterson, part of the CISA task force working on SBOM blueprints and co-founder of sbomify, explores the shifting landscape of software supply chain security as the EU's Cyber Resilience Act (CRA) comes into force, a "GDPR moment" for the industry.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Reimagining Platform Engagement with Graph Neural Networks

Mariia Bulycheva discusses the transition from classic deep learning to GNNs for Zalando's landing page. She explains the complexities of converting user logs into heterogeneous graphs, the "message passing" training process, and the technical pitfalls of graph data leakage. She shares how a hybrid architecture solved inference latency, delivering contextual embeddings to a downstream model.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Tiger Teams, Evals and Agents: The New AI Engineering Playbook

In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Sam Bhagwat, co-founder and CEO of Mastra, about building and sustaining open source communities, the emerging discipline of AI engineering and evals, and how cross-functional Tiger Teams are key to shipping agentic applications.

All in culture-methods

DevOps

Featured in DevOps

Duolingo's Kubernetes Leap

Franka Passing discusses the architectural shift of Duolingo’s 500+ backend services to Kubernetes. She explains the move toward GitOps with Argo CD, the transition to IPv6-only pods, and the "cellular architecture" used to isolate environments. She shares "reports from the trenches" on managing developer trust, navigating AWS rate limits, and productionizing early adopter services.

All in devops

Events

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Online InfoQ Architect Certification

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Learn how leading engineering teams run AI in production—reliably, securely, and at scale.

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QCon San Francisco

Learn what's next in AI and software, from teams already doing it.

Early Bird ends April 14.

InfoQ Homepage Interviews Overview on Workflow Foundation

Overview on Workflow Foundation

23:26

Bio

Matt Winkler was born and raised in St. Louis, Missouri, home of Budweiser, the Cardinals and toasted ravioli. After college at Denison University, Matt went to work for a consulting firm and a software development firm. For the past few years Matt focused on integration and workflow technologies and eventually landed at Microsoft as the Technical Evangelist for Workflow Foundation

About the conference

Aug 06, 2007

Interview with

Matt Winkler

by

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