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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

Spec-Driven Development – Adoption at Enterprise Scale

Spec‑Driven Development shifts AI‑augmented software delivery from tactical prompting to collaborative intent articulation. Enterprises face gaps in tooling, workflow integration, multi‑repo coordination, and cross‑functional collaboration. Sustainable adoption requires treating specs as living, shared interfaces, and evolving organizational practices.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

DevOps Modernization: AI Agents, Intelligent Observability and Automation

The panelists share how AI is redefining DevOps and SRE practices by moving teams beyond reactive monitoring toward predictive, automated delivery and operations. They discuss integrating AI agents into CI/CD pipelines and feature management to enable intelligent rollouts and machine-speed remediation.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Beyond Code: How Engineers Need to Evolve in the AI Era

In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Ben Greene about embracing AI in software engineering, expanding beyond pure technical skills to understand business context, and prioritizing human empathy in increasingly automated systems.

All in culture-methods

DevOps

Featured in DevOps

Proactive Autoscaling for Edge Applications in Kubernetes

Kubernetes often reacts too late when traffic suddenly increases at the edge. A proactive scaling approach that considers response time, spare CPU capacity, and container startup delays can add or remove instances more smoothly, prevent sudden spikes, and keep performance stable on systems with limited resources.

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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