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Topics

Development

Featured in Development

Python, Numba, and Algorithm Design: Building Efficient Models in Financial Services

Chad Schuster discusses bridging Python's developer velocity with C-like performance using Numba JIT and GPUs. Drawing from large-scale actuarial modeling, he explains LLVM pipeline architecture, performance gains up to 750x, and essential trade-offs like OOP limits, type inference errors, and compile-time overhead for engineering leaders scaling compute-heavy enterprise systems.

All in development

Architecture & Design

Featured in Architecture & Design

Architecture as a Socio-Technical Craft

Architecture is not a fixed choice made once; fitness is a moving target driven by changing regulations, tech, and markets. Even a sound design can silently stop fitting over time without bad calls. Spanning seven articles on context stores, gateways, and topologies, this collection treats architecture as an evolving sociotechnical craft where teams deliberately shape friction, fitness, and flow.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Beyond Offset Lag: Computing Time in Queue for Apache Hudi Data Lake Pipelines at Petabyte Scale

In this article, author Srikanth Mamidala discusses the data lake architecture used for analytics, reporting, and machine learning and shows how to manage the consumer lag metrics when using Kafka and Apache Hudi.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Rightsizing Platform Engineering: Building the Platform Your Organization Actually Needs

Shift-left and DevOps have impacted how we flow changes from inception to production, but at the cost of increased cognitive load and duplication of effort across testing, security, and maintenance. This article explores the real-world challenges of rightsizing developer platforms and finding a cultural match for engineering teams who use them to reduce cognitive load and deliver change faster.

All in culture-methods

DevOps

Featured in DevOps

Can Claude Fix Itself? Using LLMs for Incident Response

Anthropic reliability engineer Alex Palcuie shares practical lessons on using LLMs for real-world incident response. He explains where AI acts as a superhuman for observing logs and traces, why it still struggles with causation versus correlation during root-cause analysis, and how engineering leaders can integrate AI into on-call workflows without eroding human expertise.

All in devops

Events

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AI Security & Privacy Engineering Certification

Secure and govern production AI systems, from sensitive data to guardrails, evals, and audits.
Online. Register now.

Architect Certification

Distributed systems, decentralized decisions, platform engineering, and AI architecture.
Online. Register Now.

Engineering Leadership Certification

Work through leadership decisions with senior peers facing similar technical trade-offs.
Online. Register Now.

AI-Assisted Engineering Certification

Your coding agent moves fast. Who checks whether it's making the codebase better?
Online. Register Now.

QCon San Francisco

What's working across AI, architecture, and leadership, from the teams doing it.
Register. Early bird ends August 11.

QCon AI New York

Production AI across agents, context, evals, security, and infrastructure, from the senior engineers building it.
Registration open.

QCon London

What early-adopter teams have proven in production, across 15 engineering tracks.
Register. Early bird ends August 11.

InfoQ Homepage Interviews Jessica Kerr on Scala, scalaz, scalaz-stream, Testing with ScalaCheck

Jessica Kerr on Scala, scalaz, scalaz-stream, Testing with ScalaCheck

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39:52

Bio

Jessica (@jessitron) writes Scala for a living. She's still recovering from ten years of Enterprise Java. For entertainment, she blogs and speaks about functional programming and git, sneaking in a little cognitive science. Jessica is a native of StrangeLoop - I mean, St. Louis. In between user groups, she leads two children on crazy adventures.

About the conference

Code Mesh London is an annual conference dedicated to non-mainstream technologies. In 2013 it featured talks from over 50 inventors and experts in languages, libraries, operating systems and technologies that handle the programming and business challenges of today. Programming languages discussed ranged from technologies that have been around for a while such as Haskell, Clojure or Erlang to new languages such as Elixir, Rust, Go and Julia.

Jan 24, 2014

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