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Development

Featured in Development

What I Wish I Knew When I Started with Green IT

Ludi Akue discusses how the tech sector’s rising emissions impact our global climate goals. Drawing from her experience as a CTO, she explains seven key lessons for implementing Green IT. She shares insights on LCA assessments, the paradox of microservices, and why FinOps doesn’t always equal green.

All in development

Architecture & Design

Featured in Architecture & Design

Andres Almiray on How to Release Any Software to Any OS with JReleaser

Andres Almiray, a serial open-source contributor and the creator of JReleaser, discusses the project's state, noting that the tool is usable across any ecosystem, not just Java. He also touches on the Common House Foundation's mission.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Evaluating AI Agents in Practice: Benchmarks, Frameworks, and Lessons Learned

This article introduces practical methods for evaluating AI agents operating in real-world environments. It explains how to combine benchmarks, automated evaluation pipelines, and human review to measure reliability, task success, and multi-step agent behavior. The article also discusses the challenges of evaluating systems that plan, use tools, and operate across multiple interaction turns.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Image Processing for Automated Tests

Stefan Dirnstorfer discusses the shift from DOM-based testing to visual UI agents. He explains why LLMs often fail at precision tasks - like spotting one-pixel shifts or broken road networks - and shares how advanced image registration and "Chain-of-Thought" vision processing are essential for reliable QA. Learn why combining generative AI with classical algorithms is the future of automation.

All in culture-methods

DevOps

Featured in DevOps

Change as Metrics: Measuring System Reliability Through Change Delivery Signals

System changes are the primary driver of production incidents, making change-related metrics essential reliability signals. A minimal metric set of Change Lead Time, Change Success Rate, and Incident Leakage Rate assesses delivery efficiency and reliability, supported by actionable technical metrics and an event-centric data warehouse for unified change observability.

All in devops

Events

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InfoQ Architect Certification

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QCon London 2026

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

Early Bird ends March 10.

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

Early Bird ends March 10.

QCon San Francisco

Learn what's next in AI and software, from teams already doing it.

Early Bird ends March 10.

InfoQ Homepage Interviews Mathias Brandewinder on F# for Data Science

Mathias Brandewinder on F# for Data Science

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11:10

Bio

Mathias Brandewinder has been writing software for about 10 years, primarily in C# until he fell in love with F# and functional programming. He enjoys arguing about code and how to make it better, and gets very excited when discussing TDD or F#. His other professional interests are applied math, predictive models and machine learning.

About the conference

Begun in 2012 this now annual conference hosted in Vilnius, Lithuania brings the best of the developer world to the Baltic's. The overall theme is building stuff, we have a heavy focus on lessons from trenches from the people that were there.

Mar 02, 2015

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