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Development

Featured in Development

From MCP and Vibe Coding to Harness Engineering: How Did AI Native Engineering Evolve in One Year

Birgitta Böckeler, Distinguished Engineer at Thoughtworks, returns to discuss the rapid evolution of AI in software delivery. She touches on the evolution from vibe coding, the changing tools landscape and the more autonomous agents that, besides higher velocity, introduce higher risk.

All in development

Architecture & Design

Featured in Architecture & Design

Architecting a Centralized Platform for Data Deletion at Netflix

The speakers discuss the architectural challenges of executing safe data deletion across distributed datastores. Balancing durability, availability & correctness, they explain how to orchestrate multi-system deletion propagation without impacting live traffic. They share lessons on controlling tombstone accumulation, building continuous audit loops, and gaining trust with a centralized platform.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Artificial Intelligence-Driven Phishing: How Phishing Technique Is Evolving and Implemented

In this article, the author examines how AI is transforming phishing from a manual, targeted activity into an automated and scalable attack model. The article breaks down each stage of the phishing lifecycle, showing how AI improves reconnaissance, profiling, content generation, delivery, and interaction, while outlining layered defenses that combine controls, processes, and user awareness.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

From Founding Engineer to CTO to CEO – at the Same Startup

Trisha Ballakur discusses her journey from a backend software engineer to CTO and CEO, using her startup Pointz as a case study. She explains how to implement bottom-up customer discovery to find product-market fit, effectively delegate to global contractors to reduce build times, customize open-source repos like Valhalla, and apply engineering test-case models to business development.

All in culture-methods

DevOps

Featured in DevOps

Article Series: Securing the AI Stack: from Model to Production

This series provides your roadmap for the machine age, exploring how to move from vulnerable prototypes to resilient systems through layered defense, robust MLOps, and integrated governance.

All in devops

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InfoQ Homepage Interviews John Lam About IronRuby

John Lam About IronRuby

17:03

Bio

John Lam is Program Manager on the Dynamic Language Runtime team at Microsoft. He created RubyCLR, and is now working on the team that is creating IronRuby, Microsoft's implementation of Ruby.

About the conference

Aug 06, 2008

Interview with

John Lam

by

Greg Young

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