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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

Agentic AI Architecture: Current Challenges and Future Opportunities

Agentic AI architecture extends microservices and cloud-native architectures with AI agents that work with context, memory, and protocols such as MCP and A2A. The article covers bounded-context integration, task-dependent coordination strategies, new security risks, and observability needs. It expects gradual adoption alongside existing architectures, with platforms absorbing common components.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Opening the Black Box: Critical Explainability for AI Agent Tool Selection with Kiji Inspector

Hannes Hapke shares how Dataiku’s open-source Kiji Inspector applies Sparse Autoencoders (SAEs) directly to decision tokens to expose why agents pick specific tools. Moving past superficial chain-of-thought narratives, he discusses causal ablation, layer activation extraction via patched vLLM engines, and production monitoring workflows for software architects and senior engineering leaders.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

The Influence Toolkit

Henry Wilson shares actionable tools from the BBC Sounds re-architecture to help senior engineering leaders drive technical strategy. He discusses building buy-in, navigating active resistors, using RFCs and ADRs, and balancing tradeoffs - showing that effective software architecture is fundamentally about communication, relationship-building, and organizational influence.

All in culture-methods

DevOps

Featured in DevOps

Uncorking Queueing Bottlenecks with OpenTelemetry

Oli Lane and Julian Wreford share how Gearset replaced guesswork in distributed asynchronous queues with OpenTelemetry tracing. They explain why traditional metrics fall short, how to implement user-centric SLOs based on latency distributions, and share practical debugging tips to help senior developers, software architects, and engineering leaders improve system reliability and team culture.

All in devops

Events

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AI Engineering Certification

Work through your production AI decisions with senior engineers from other companies. Apply their perspectives to challenges from your own work.
Online. Register Now.

AI Engineering Certification

Building RAG pipelines or AI agents? Work through retrieval, context, evals, and reliability decisions with experienced practitioners.
Online. Register Now.

High-Performing Teams Certification

Compare team design, delivery flow, AI roles, and metrics with experienced practitioners.
Online. Register Now.

Architect Certification

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

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.
Register. Early bird ends Nov 10.

QCon AI Boston

Learn from the decisions and trade-offs behind AI systems already running in production.
Registration open.

InfoQ Homepage Interviews Guy Steele on Programming Languages

Guy Steele on Programming Languages

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20:31

Bio

Guy Steele is a Sun Fellow for Sun Microsystems Laboratories, working on the Programming Language Research project. He received his A.B. in applied mathematics from Harvard College (1975), and his S.M. and Ph.D. in computer science and artificial intelligence from MIT (1977 and 1980). Prior to joining Sun Microsystems, he was an assistant professor of computer science at Carnegie-Mellon University

About the conference

Jul 30, 2008

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