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Development

Featured in Development

From VR to Flat Screens: Bridging the Input and Immersion Gap

Dany Lepage discusses the architectural journey of porting a hit VR title to seven non-VR platforms. He explains how his team solved the challenges of cross-progression, diverse input paradigms, and maintaining release velocity across Steam, iOS, and PlayStation. Beyond the tech, he shares candid lessons on the "product fit" gap when translating immersive social presence to 2D screens.

All in development

Architecture & Design

Featured in Architecture & Design

Stripe’s Docdb: How Zero-Downtime Data Movement Powers Trillion-Dollar Payment Processing

Jimmy Morzaria discusses the evolution of Stripe’s database tier to support 5 million QPS with 5.5 nines of reliability. He explains the architecture of DocDB and shares how Stripe leverages a custom zero-downtime data movement platform to perform horizontal sharding, version upgrades, and multi-tenant migrations - all while maintaining the strict consistency required for global commerce.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

What I Learned Building Multi-Agent Systems From Scratch

Paulo Arruda discusses Shopify’s evolution in AI adoption, moving from simple chat tools to a sophisticated swarm of specialized agents. He explains the transition from massive "all-in-one" prompts to lean, narrow-focused agent microservices that slash task times from hours to minutes. He also shares a future-looking hypothesis on using filesystem-based adapters to solve context bloat.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Accelerating LLM-Driven Developer Productivity at Zoox

Amit Navindgi discusses the systematic shift at Zoox from fragmented documentation to an AI-driven ecosystem. He explains how they built "Cortex," a secure platform integrating RAG, multi-modal LLMs, and contributor-friendly agent APIs. He shares practical strategies for driving adoption through AI champions and hackathons, emphasizing the move from deterministic workflows to autonomous agents.

All in culture-methods

DevOps

Featured in DevOps

The Mathematics of Backlogs: Capacity Planning for Queue Recovery

Backlogs in distributed systems are arithmetic problems, not mysteries. This article provides practical formulas for calculating backlog drain time, sizing consumer headroom, and setting auto-scaling triggers. It covers key failure modes — retry amplification, metastable states, and cascading pipeline bottlenecks — plus when to shed load instead of draining.