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Development

Featured in Development

The Free-Lunch Guide to Idea Circularity

Holly Cummins discusses why "nothing is new under the sun" in tech. She maps historical architectural tradeoffs to modern cloud, microservices, and AI hype cycles. She connects financial debt (post-ZIRP) and technical debt to epistemic and sleep debt, showing engineering leaders how to navigate shifts in assumptions, embrace sustainability, and revive proven engineering disciplines.

All in development

Architecture & Design

Featured in Architecture & Design

From ms to µs: OSS Valkey Architecture Patterns for Modern AI

Dumanshu Goyal discusses optimizing data layers for low-latency workloads like AI feature stores. Drawing lessons from NASA's Space Shuttle, he explains how proxy architectures introduce hidden CPU costs, elevated tail latencies, and blast-radius risks. He demonstrates how direct-access Valkey architectures achieve microsecond latency, improve resilience, and slash infrastructure costs.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Keeping ChatGPT Fast as AI Development Accelerates

Martin Spier explains how agentic workflows dramatically increase code change volume at OpenAI. He discusses the hidden systemic performance costs of rapid shipping beyond GPUs, and shares how deploying always-on AI agents automates profiling, regression detection, and continuous optimization to maintain product speed and scalability at massive global scale.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

InfoQ Culture and Methods Trends Report - 2026

This report summarizes how the InfoQ Culture and Methods editorial team sees the ongoing and emergent trends in the culture and methods space in 2026.

All in culture-methods

DevOps

Featured in DevOps

Platform Engineering for Everyone - Success Can’t Be Coded

Max Korbacher explains why successful internal development platforms cannot be built on tech alone. He discusses the pitfalls of infrastructure-first thinking, the importance of a clear product mindset, and how to measure real value using DevEx and SPACE metrics. Learn how to align your team, manage tech debt, and foster a thriving community to ensure lasting platform adoption.

All in devops

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AI, ML & Data Engineering

Numerical Computing Dynamic Language Julia 1.0 Released

The latest version of Julia, a high-level, high-performance dynamic language for technical computing, supports language API stability and a new built-in package manager. The Julia computing team announced the release of Julia version 1.0 last week at JuliaCon 2018 in London, .

Srini Penchikala
on Aug 16, 2018

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Topics

The Free-Lunch Guide to Idea Circularity

From ms to µs: OSS Valkey Architecture Patterns for Modern AI

Keeping ChatGPT Fast as AI Development Accelerates

InfoQ Culture and Methods Trends Report - 2026

Platform Engineering for Everyone - Success Can’t Be Coded

Helpful links

Choose your language

News

Numerical Computing Dynamic Language Julia 1.0 Released

Beyond Consensus: The Fragmentation of AI Policy Across the Linux Ecosystem

GitHub Hardens npm and Actions Defaults, Drawing Debate over Delays versus Signing

Ponytail Agent Skill Corrects its Own Benchmark after Contributor Challenge

Instacart Builds Blueberry, an AI-Powered Assistant to Help On-Call Engineers Investigate Incidents

From ms to µs: OSS Valkey Architecture Patterns for Modern AI

JioHotstar Explains the Distributed Engineering behind Personalized Ad Requests at Streaming Scale

InfoQ Culture and Methods Trends Report - 2026

Culture & Methods Trends 2026: The Human Side of AI Engineering

From Projects to Products: Turning Platforms into Products People Use

Stripe Uses Graph Search and State Machines to Automate Database Remediation

Keeping ChatGPT Fast as AI Development Accelerates

Cloudflare Launches Persistent, Stateful, Computer-Like Environments for Agents

AI Is Transforming Incident Response - But the Hardest Problems May Still Belong to Humans

Rootly Drops Small PR Rule as Agentic AI Changes Code Review Economics

Pods as Workers, Not Agents: Rethinking the Deployment Unit for AI Agents on Kubernetes

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