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Topics

Development

Featured in Development

Accelerating Performance by Incrementally Integrating Rust into Existing Codebase

Lily Mara explains how to avoid high-risk software rewrites through incremental FFI refactoring. She shares how engineering teams can replace Python bottlenecks with Rust via PyO3, demonstrating how to achieve dramatic function-level speedups, seamless integration testing, and meaningful infrastructure cost savings without microservice overhead.

All in development

Architecture & Design

Featured in Architecture & Design

From Microservices to Agents: the Next Evolution of Distributed Systems

The article examines the transition from microservices to agentic AI architecture in distributed systems. Microservices allow for functional decomposition, while agentic systems focus on decision decomposition. This shift introduces new complexities in observability, reliability, and system design, highlighting the need for updated architectural patterns and practices.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

The Future of Web Apps: Will AI Agents Generate UIs on the Fly?

Rachel Lee Nabors, former React core team member, dives into the architecture and philosophy behind local-first applications, exploring how small language models (SLMs) running directly on-device can deliver privacy-focused, low-latency, and cost-effective alternatives to cloud-hosted LLM wrappers.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

The Minimum Viable Manager: Building Trust, Feedback, and Alignment

In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Matt Gjertsen, founder of Built and author of Minimum Viable Manager, about the three foundational skills every first-time manager needs, how to build trust and give effective feedback, and why human leadership skills matter even more in the age of AI.

All in culture-methods

DevOps

Featured in DevOps

Exploding GPUs and the AI Infrastructure Challenge

Andrew Martin discusses why AI security is fundamentally tied to Kubernetes security. He shares insights into the evolving AI threat landscape, covering non-deterministic agent behavior, GPU supply chain vulnerabilities, shared compute risks, and practical defense strategies - from prompt firewalling to agentic identity - to help secure cloud-native AI workloads in production environments.

All in devops

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QCon San Francisco

What's working across AI, architecture, and leadership, from the teams doing it.
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QCon AI New York

Production AI across agents, context, evals, security, and infrastructure, from the senior engineers building it.
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What early-adopter teams have proven in production, across 15 engineering tracks.
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InfoQ Homepage Interviews Paul Fremantle on the State of WS-*

Paul Fremantle on the State of WS-*

33:36

Bio

Paul Fremantle co-founded WSO2 after 9 years at IBMm where he created the Web Services Gateway, and led the team that developed and shipped it as part of WebSphere Application Server. Paul also co-created the Web Services Invocation Framework (WSIF), was co-lead of JSR 110: Java APIs for WSDL, which produced WSDL4J, and co-chaired the OASIS Web Services Reliable eXchange Technical Committee.

About the conference

Nov 07, 2007

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