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Development

Featured in Development

Expanding Swift from Apps to Services

Cory Benfield discusses the evolution of Swift from an app language to a critical tool for secure, high-scale services. He explains how Swift’s lack of a garbage collector eliminates tail latency and shares how its "zero-cost abstractions" rival C performance. He shares Apple’s roadmap for incremental adoption and demonstrates groundbreaking new interoperability for C++ and Java ecosystems.

All in development

Architecture & Design

Featured in Architecture & Design

[Video Podcast] Improving Valkey with Madelyn Olson

In this episode, Thomas Betts chats with Madelyn Olson, a maintainer of the Valkey project and a Principal Software Development Engineer at Amazon ElastiCache and Amazon MemoryDB. The conversation covers how Valkey started as an open source fork of Redis and how the maintainers optimized the memory usage and improved throughput.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Building LLMs in Resource-Constrained Environments: A Hands-On Perspective

In this article, the author argues that infrastructure and compute limitations can drive innovation. It demonstrates how smaller, efficient models, synthetic data generation, and disciplined engineering enable the creation of impactful LLM-based AI systems despite severe resource constraints.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Scaling to 100+ as a Director: Lessons from Growing Engineering Organizations

Thiago Ghisi discusses the strategic evolution required to lead 100+ engineers without breaking the organization. He explains his "Three Levels of Impact" framework and shares practical lessons on speeding up decision-making, cultivating leadership teams, and building organizational resilience. Learn why he views reorgs as a continuous deployment feature rather than a one-time traumatic event.

All in culture-methods

DevOps

Featured in DevOps

From Alert Fatigue to Agent-Assisted Intelligent Observability

As systems grow, observability becomes harder to maintain and incidents harder to diagnose. Agentic observability layers AI on existing tools, starting in read-only mode to detect anomalies and summarize issues. Over time, agents add context, correlate signals, and automate low-risk tasks. This approach frees engineers to focus on analysis and judgment.

All in devops

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InfoQ Homepage Interviews Kevin Rutherford on Refactoring Ruby And Code Smells

Kevin Rutherford on Refactoring Ruby And Code Smells

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Bio

Kevin Rutherford is an Agile coach from the Manchester area in the UK, more info at http://www.kevinrutherford.co.uk/ He recently co-wrote the book 'Refactoring in Ruby' (http://www.refactoringinruby.info/).

About the conference

The Scottish Ruby Conference rebrands the successful Scotland on Rails conference. It is the same team organising the same event that ran in 2008 and 2009, but with a more accurate name and an exciting new venue: The Royal College of Physicians in the centre of Edinburgh.

Aug 25, 2010

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Topics

Expanding Swift from Apps to Services

[Video Podcast] Improving Valkey with Madelyn Olson

Building LLMs in Resource-Constrained Environments: A Hands-On Perspective

Scaling to 100+ as a Director: Lessons from Growing Engineering Organizations

From Alert Fatigue to Agent-Assisted Intelligent Observability

Helpful links

Choose your language

Kevin Rutherford on Refactoring Ruby And Code Smells

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Cloudflare Demonstrates Moltworker, Bringing Self-Hosted AI Agents to the Edge

Vercel Introduces Skills.sh, an Open Ecosystem for Agent Commands

Google Pushes for gRPC Support in Model Context Protocol

Google Supercharges Gemini 3 Flash with Agentic Vision

MUI Releases Base UI 1 with 35 Accessible Components

[Video Podcast] Improving Valkey with Madelyn Olson

QCon London

QCon AI Boston

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InfoQ Software Architects' Newsletter

Kevin Rutherford on Refactoring Ruby And Code Smells

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