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Development

Featured in Development

From MCP and Vibe Coding to Harness Engineering: How AI Native Engineering Evolved 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

Moving Mountains: Migrating Legacy Code in Weeks Instead of Years

David Stein shares how to rethink large-scale architectural migrations using AI. He discusses ServiceTitan's "assembly line" pattern, explaining how decomposing legacy codebase refactoring into standardized tasks can achieve massive parallelization. He highlights the critical role of programmatically rigid validation loops to eliminate LLM hallucinations and accelerate engineering agility.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Craig McLuckie on Culture as a Team's Operating System in the AI Era

In this podcast, Shane Hastie, Lead Editor for Culture & Methods spoke to Craig McLuckie, co-creator of Kubernetes and CEO of Stacklok, about the impact of AI coding tools on open source communities and engineering teams, designing deliberate organisational culture, and navigating evolving career paths for engineers in the age of AI.

All in culture-methods

DevOps

Featured in DevOps

Confidently Automating Changes across a Diverse Fleet

Netflix engineer Casey Bleifer shares how to achieve rapid, automated code changes across a massive, diverse software fleet. She discusses building an event-driven orchestration platform using composable, Lego-like steps, and explains how Netflix utilizes automated canary validation, compliance checks, and a custom "confidence metric" to eliminate the long tail of manual engineering migrations.

All in devops

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Distributed systems, decentralized decisions, platform engineering, and AI architecture.
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What's working across AI, architecture, and leadership, from the teams doing it.
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What early-adopter teams have proven in production, across 15 engineering tracks.
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InfoQ Homepage Interviews Steven Doclist About Open Spaces

Steven Doclist About Open Spaces

00:01

Bio

About the conference

Nov 06, 2005

Interview with

Steven Doclist

by

Greg Young

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