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Topics

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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Secure and govern production AI systems, from sensitive data to guardrails, evals, and audits.
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Compare team design, delivery flow, AI roles, and metrics with experienced practitioners.
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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.
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QCon AI New York

Production AI across agents, context, evals, security, and infrastructure, from the senior engineers building it.
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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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InfoQ Homepage Interviews Lennart Augustsson on DSLs Written in Haskell

Lennart Augustsson on DSLs Written in Haskell

25:22

Bio

Lennart Augustsson was previously a lecturer at the CS Department at Chalmers University of Technology and currently works for Standard Chartered Bank. His research field is functional programming and implementations of functional languages. He is the author of the Cayenne programming language and the HBC Haskell compiler.

About the conference

Feb 17, 2009

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