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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

Context is the Key to the Agentic Architecture Revolution: a Conversation with Baruch Sadogursky

Michael Stiefel spoke to Baruch Sadogursky about software architecture in the age of agentic AI. LLM can function, albeit stochastically, as reasoning machines capable of interpreting human ambiguity. With the appropriate rigorous context artifacts to control the LLM’s reasoning, software specifications can become the source of truth, while the code becomes a disposable intermediate language.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

AI Native Engineering

Ian Thomas shares a case study on embracing AI-native engineering within Meta’s Reality Labs. He explains the "Assess and Grow" framework, a maturity model designed to move teams from manual toil to AI-integrated innovation. He discusses real-world wins - including hitting 90% code coverage in record time - while addressing senior concerns like "code slop," review fatigue, and maintaining quality.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Product Thinking for Cloud Native Engineers

Stéphane Di Cesare and Cat Morris share how engineers can move from being a "cost center" to a value driver using product discovery. They explain the "Double Diamond" framework and why identifying user problems must precede building solutions. Learn to choose the right metrics, build customer empathy through shadowing, and use business context to maximize the impact of your technical work.

All in culture-methods

DevOps

Featured in DevOps

The Ironies of A^2 I^2

J. Paul Reed discusses the "ironies of automation" - a 40 years-old concept now amplified by AI. He explains how advanced systems often make the human operator more crucial, not less, while simultaneously degrading the skills needed to intervene. Sharing real-world stories of "AI-fueled" incidents, he shares why over-reliance on AI can double recovery times and how to maintain resilience.

All in devops

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AI, ML & Data Engineering

CodeGuardian: a Model Context Protocol Server for AI-Assisted Code Quality Analysis and Security Scanning

CodeGuardian is an MCP server that extends AI coding assistants with comprehensive code quality and security analysis capabilities. By implementing eleven specialized tools, CodeGuardian enables developers to access enterprise-grade analysis directly through their AI assistant, eliminating context-switching and reducing friction in adopting secure coding practices.

Madhvesh Kumar Deepika Singh
on Apr 28, 2026
Development

Stateful Continuation for AI Agents: Why Transport Layers Now Matter

Agent workflows make transport a first-order concern. Multi-turn, tool-heavy loops amplify overhead that is negligible in single-turn LLM use. Stateful continuation cuts overhead dramatically. Caching context server-side can reduce client-sent data by 80%+ and improve execution time by 15–29% .

Anirudh Mendiratta
on Apr 08, 2026

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