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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

You’ve Generated Your MVP Using AI. What Does That Mean for Your Software Architecture?

AI‑generated code creates implicit architectural decisions, forcing teams to rely on experimentation to validate quality attributes. To get useful results from AI, teams must clearly express trade‑offs and reasoning so the model can generate solutions aligned with desired QARs.

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

Events

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InfoQ Architect Certification

Join Luca Mezzalira for this 5-week online cohort. Master socio-technical architecture leadership.

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QCon London 2026

Learn what works in AI, architecture, data, security & FinTech.

Early Bird ends March 10.

Learn how leading engineering teams run AI in production—reliably, securely, and at scale.

Early Bird ends March 10.

QCon San Francisco

Learn what's next in AI and software, from teams already doing it.

Early Bird ends March 10.

InfoQ Homepage Interviews Joseph Hill About Important Developments in Mono

Joseph Hill About Important Developments in Mono

18:14

Bio

Joseph Hill has been an active participant in the Mono community since 2003, and has also been an active contributor to several open source ASP.NET applications. He has done significant work in design and implementation of .NET applications for a number of customers in areas such as messaging solutions, SCM, and others. In January 2008, Joseph joined Novell to serve as the Product Manager for Mono

About the conference

Sep 08, 2008

Interview with

Joseph Hill

by

Greg Young

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