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Development

Featured in Development

Accelerating Performance by Incrementally Integrating Rust into Existing Codebase

Lily Mara explains how to avoid high-risk software rewrites through incremental FFI refactoring. She shares how engineering teams can replace Python bottlenecks with Rust via PyO3, demonstrating how to achieve dramatic function-level speedups, seamless integration testing, and meaningful infrastructure cost savings without microservice overhead.

All in development

Architecture & Design

Featured in Architecture & Design

Evolutionary Architecture in Practice

Discover how to keep software evolvable as systems, technology, and teams shift. This edition explores agentic fitness functions for semantic drift, treating human comprehension as a core design metric, cross-cloud guardrails for regional autonomy, and aligning technical boundaries with Conway’s Law. Move beyond static diagrams to continuous feedback systems that keep change safe and intentional.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

What 25 Trillion Tokens Reveal About How Developers Actually Adopt AI Agents

Brendan O'Leary discusses how real-world AI adoption depends on building trust rather than chasing model benchmarks. Drawing from 40 trillion tokens of usage data, he explains the four rungs of the AI adoption ladder and analyzes key failure points in context construction, multi-model routing, and feedback loops to help engineering leaders successfully scale agentic workflows.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

The Minimum Viable Manager: Building Trust, Feedback, and Alignment

In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Matt Gjertsen, founder of Built and author of Minimum Viable Manager, about the three foundational skills every first-time manager needs, how to build trust and give effective feedback, and why human leadership skills matter even more in the age of AI.

All in culture-methods

DevOps

Featured in DevOps

Exploding GPUs

Andrew Martin discusses why AI security is fundamentally tied to Kubernetes security. He shares insights into the evolving AI threat landscape, covering non-deterministic agent behavior, GPU supply chain vulnerabilities, shared compute risks, and practical defense strategies - from prompt firewalling to agentic identity - to help secure cloud-native AI workloads in production environments.

All in devops

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AI-Assisted Engineering Certification

Your coding agent moves fast. Who checks whether it's making the codebase better?
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AI Security & Privacy Engineering Certification

Secure and govern production AI systems, from sensitive data to guardrails, evals, and audits.
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High-Performing Teams Certification

Compare team design, delivery flow, AI roles, and metrics with experienced practitioners.
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Architect Certification

Distributed systems, decentralized decisions, platform engineering, and AI architecture.
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QCon San Francisco

What's working across AI, architecture, and leadership, from the teams doing it.
Register. Early bird ends Nov 10.

QCon AI New York

Production AI across agents, context, evals, security, and infrastructure, from the senior engineers building it.
Register. Early bird ends Nov 10.

QCon London

What early-adopter teams have proven in production, across 15 engineering tracks.
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Learn from the decisions and trade-offs behind AI systems already running in production.
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AI, ML & Data Engineering

AI in Production: What Breaks, What Works, and Who Approves it? | InfoQ Webinar

On October 14, InfoQ will host a free 60-minute panel with five practitioners on running AI in production. They'll discuss agent autonomy and human approval, how to verify AI-generated changes, sensitive-data exposure, and production RAG. Registrants can submit questions and will receive the recording.

Artenisa Chatziou
on Oct 07, 2026
AI, ML & Data Engineering

InfoQ previews the September Cohorts of its Online Certification Programs

A preview of the September cohorts of the InfoQ Online Certification Programs, and the facilitators leading them: Luca Mezzalira, Michelle Brush, Zichuan Xiong, and Premanand Chandrasekaran.

Artenisa Chatziou
on Sep 01, 2026

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Topics

Accelerating Performance by Incrementally Integrating Rust into Existing Codebase

Evolutionary Architecture in Practice

What 25 Trillion Tokens Reveal About How Developers Actually Adopt AI Agents

The Minimum Viable Manager: Building Trust, Feedback, and Alignment

Exploding GPUs

Helpful links

Choose your language

News

AI in Production: What Breaks, What Works, and Who Approves it? | InfoQ Webinar

InfoQ previews the September Cohorts of its Online Certification Programs

ZCS Command Injection via SNMP Handlers Enables Unauthenticated Remote Code Execution

Olson and Söderqvist Discuss Valkey’s Evolution and Future Past Caching Use Cases at OSS EU

Technological Sovereignty Requires Choice, Skills, and Support, Panelists Say During OSS EU

Uber Automates Dependency Analysis Across Its Service Mesh

Evolutionary Architecture in Practice

Meta Extends Confidential Computing to AI Glasses with Private Processing

Optimizing Software Workflow: Exploring Fundamental Impacts in Technology

The Minimum Viable Manager: Building Trust, Feedback, and Alignment

The Reinvention of the Dev Team

Google EnvHarness Enables Self-Evolving Agents to Learn in Dynamics Environments

AI in Production: Panellists Highlight Silent Failures, Harness Engineering, and Agent Governance

AWS Introduces Strands Decider 2B and Strands Box for AI Agent Development

Grafana Applies SLOs and Error Budgets to AI Agent Behaviour

Exploding GPUs

Chainguard Launches Secure Workspaces and Checks for AI Coding Agents

Online InfoQ AI-Assisted Engineering Certification

Online InfoQ AI Security & Privacy Engineering Program

Online InfoQ High-Performing Teams Certification

QCon San Francisco

QCon AI New York

Online InfoQ Architect Certification

QCon London 2027

QCon AI Boston

InfoQ Software Architects' Newsletter

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