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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] The Craft of Software Architecture in the Age of AI Tools

AI coding assistants promise speed, but what do they mean for quality, trust, and the architect’s craft? In this inaugural episode of Next Gen Architecture Playbook, Shweta Vohra and Grady Booch explore a principled view of how architecture must evolve when machines begin writing code alongside humans. They unpack the third golden age of software engineering, where productivity gains are real.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

From Prompts to Production: A Playbook for Agentic Development

In this article, author Abhishek Goswami shares a practitioner's playbook with development practices, that describes building agentic AI applications and scaling them in production. He also presents core architecture patterns for agentic application development.

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 explains the structural shifts required as an engineering org scales from 30 to 100+ engineers. He shares how to transition from managing performance to building opinionated leadership teams and shaping long-term culture. He discusses his "Three Levels of Impact" framework - Org, Skip-Level, and Company - to help leaders drive strategy and secure high-level promotions.

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 Luke Francl Explains Why Testing Is Overrated

Luke Francl Explains Why Testing Is Overrated

17:35

Bio

Luke Francl is a developer at Slantwise Design (http://slantwisedesign.com) and sometimes tech writer. Luke is a frequent presenter at the Ruby Users of Minnesota, and has also presented at CodeCon, MinneBar, Ostrava on Rails, and acts_as_conference. He blogs at Rail Spikes (http://railspikes.com) and Just Looking (http://justlooking.recursion.org).

About the conference

Feb 18, 2009

Interview with

Luke Francl

by

Rob Bazinet

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