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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

Latency: the Race to Zero...Are We There Yet?

Amir Langer discusses the evolution of latency reduction, from the Pony Express to modern hardware. He explains how separation of concerns - decoupling business logic from I/O - and tools like Aeron and the Disruptor achieve single-digit microsecond speeds. He shares insights into replicated state machines, consensus protocols like Raft, and the future of low-latency sequencer architectures.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Choosing Your AI Copilot: Maximizing Developer Productivity

Sepehr Khosravi discusses the current state of AI-assisted coding, moving beyond basic autocompletion to sophisticated agentic workflows. He explains the technical nuances of Cursor’s "Composer" and Claude Code’s research capabilities, providing tips for managing context windows and MCP integrations. He shares lessons from industry leaders on shrinking process time beyond just writing code.

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

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InfoQ Homepage Interviews Jim Weirich Discusses Rake, the Ruby Make Tool

Jim Weirich Discusses Rake, the Ruby Make Tool

31:55

Bio

Jim Weirich is the Chief Scientist for EdgeCase LLC, and is the creator of rake, the popular make-like build tool written in Ruby. Jim is very active in the Ruby community, presenting at many conferences and contributing to open source projects such as RubyGems. Jim blogs at http://onestepback.

About the conference

Apr 17, 2008

Interview with

Jim Weirich

by

Werner Schuster

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