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Topics

Featured in Development

Go Channels: Understanding Happens-Before for Safe Concurrency

This article dives into the happens-before semantics of Go channels, explaining how they relate to memory visibility, synchronization, and concurrency correctness. We'll examine subtle pitfalls, illustrate them with examples, and explore the architectural implications for system designers.

Go Channels: Understanding Happens-Before for Safe Concurrency

All in development

Architecture & Design

Featured in Architecture & Design

Transforming Primary Care: A Case Study in Evolving From Start-Up To Scale-Up

Leander Vanderbijl explains how Kry navigated its scale-up phase to fix a complex, highly dependent "spiderweb" architecture. He shares the journey of applying Domain-Driven Design principles to group functionality and refactor existing services in situ, without stopping development. Key takeaways include moving from product-centric to functionality-centric design and using the FHIR model.

Transforming Primary Care: A Case Study in Evolving From Start-Up To Scale-Up

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Why Observability Matters (More!) with AI Applications

Sally O'Malley explains the unique observability challenges of LLMs and provides a reproducible, open-source stack for monitoring AI workloads. She demonstrates deploying Prometheus, Grafana, OpenTelemetry, and Tempo with vLLM and Llama Stack on Kubernetes. Learn to monitor critical cost, performance, and quality signals for business-critical AI applications.

Why Observability Matters (More!) with AI Applications

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

A Plan-Do-Check-Act Framework for AI Code Generation

AI code generation tools promise faster development but often create quality issues, integration problems, and delivery delays. A structured Plan-Do-Check-Act cycle can maintain code quality while leveraging AI capabilities. Through working agreements, structured prompts, and continuous retrospection, it asserts accountability over code while guiding AI to produce tested, maintainable software.

A Plan-Do-Check-Act Framework for AI Code Generation

All in culture-methods

Featured in DevOps

From Grassroots to Enterprise: Vanguard's Journey in SRE Transformation

Christina Yakomin shares Vanguard's SRE transformation: from quarterly testing of monoliths to a mature DevOps model with continuous delivery. She explains the SRE coaching hub, self-service tools, and advanced techniques like request-rate autoscaling. She details modern challenges, including region failure game days and testing AI-backed contact centers.

From Grassroots to Enterprise: Vanguard's Journey in SRE Transformation

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QCon San Francisco 2025

Get production-proven patterns from the leaders who scaled a GenAI search platform to millions, migrated a core ML system without downtime, and architected a global streaming service from the ground up.

Early Bird ends Nov 11.

QCon AI New York 2025

Move beyond AI demos to real engineering impact. Discover how teams embed LLMs, govern models, and scale inference pipelines to accelerate development securely.

Early Bird ends Nov 11.

QCon London 2026

Benchmark your systems against leading engineering teams. See what really works in FinOps, modern Java, and distributed data architectures to balance cost, scale, and reliability.

Early Bird ends Nov 11.

InfoQ Homepage Presentations Improving Both the UX and DX with White Box AI

AI, ML & Data Engineering

Improving Both the UX and DX with White Box AI

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26:39

Summary

Cloderic Mars discusses using white box AI to improve user and developer experience.

Bio

Cloderic Mars is CTO at Craft.ai in Paris. He is co-organizer and track chair of nucl.ai, co-author on two chapters in Game AI Pro 2, speaker at international conferences and at various meetups and workshops.

About the conference

You love APIs? We do! We are APIdays, the worldwide conference on APIs (US, EMEA). Follow us with #APIdays #APIdaysGlobal.

Recorded at:

Oct 16, 2017

by

Cloderic Mars

This content is in the AI, ML & Data Engineering topic

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