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Topics

Development

Featured in Development

How to Use Apache Spark to Craft a Multi-Year Data Regression Testing and Simulations Framework

Vivek Yadav, an engineering manager from Stripe, shares his experience in building a testing system based on multi-year worth of data. He shares insights into why Apache Spark was the choice for creating such a system and how it fits in the "traditional" engineering practices.

All in development

Architecture & Design

Featured in Architecture & Design

Where Architects Sit in the Era of AI

As AI evolves from tool to collaborator, architects must shift from manual design to meta-design. This article introduces the "Three Loops" framework (In, On, Out) to help navigate this transition. It explores how to balance oversight with delegation, mitigate risks like skill atrophy, and design the governance structures that keep AI-augmented systems safe and aligned with human intent.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Lessons Learned From Building LinkedIn’s First Agent: Hiring Assistant

Karthik Ramgopal and Daniel Hewlett discuss the evolution of AI at LinkedIn, from simple prompt chains to a sophisticated distributed agent platform. They explain the transition to a supervisor-sub-agent model that enables parallel development and modular quality evaluation. and share a blueprint for building resilient, high-scale agentic systems.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Changing Power Dynamics: What Senior Engineers Can Learn from Junior Engineers

Beth Anderson discusses the "power distance index" and its critical role in communication. Using the Korean Air Flight 801 tragedy as a case study, she explains the dangers of hierarchy-driven silence. She shares actionable frameworks for building the four stages of psychological safety, implementing reverse mentoring, and using PRs as tools for knowledge sharing rather than gatekeeping.

All in culture-methods

DevOps

Featured in DevOps

Fix SLO Breaches before They Repeat: an SRE AI Agent for Application Workloads

Bruno Borges discusses a paradigm shift in performance management: moving from manual tuning to automated SRE agents. He explains how to leverage the USE and jPDM methodologies alongside LLMs to reduce MTTR from hours to seconds. By utilizing MCP tools for real-time diagnostics and memory dump analysis, he shares how engineering leaders can scale systems while meeting strict objectives.

All in devops

Events

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QCon AI New York 2025

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Join Luca Mezzalira for this 5-week online cohort. Master socio-technical architecture leadership.

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Learn what works in AI, architecture, data, security & FinTech.

Early Bird ends Jan 13.

Learn how leading engineering teams run AI in production—reliably, securely, and at scale.

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InfoQ Homepage Interviews Martin Odersky on the Future of Scala

Martin Odersky on the Future of Scala

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36:59

Bio

Martin Odersky is a German computer scientist and professor of programming methods at the EPFL in Lausanne, Switzerland. He specializes in code analysis and programming languages. He designed the Scala programming language and Generic Java, and built the current generation of javac, the Java compiler. In 2007 he was inducted as a Fellow of the Association for Computing Machinery.

About the conference

The target audience for GOTO conferences are software developers, IT architects and project managers. GOTO Aarhus is an annual event in Denmark. The idea for GOTO (formerly known as JAOO) came about as the management at Trifork was dissatisfied with the conferences that existed and wanted to create a forum that would give the development staff inspiration, energy and desire to learn coupled with the chance to network with the IT community.

Jan 10, 2011

Interview with

Martin Odersky

by

Sadek Drobi

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