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Development

Featured in Development

Practical Robustness: Going beyond Memory Safety in Rust

Andy Brinkmeyer shares how engineering leaders and architects can use Rust to build failure-proof systems. Moving beyond memory safety, he explains how ownership, enums, and the typestate pattern embed complex runtime protocols into compile-time checks. Learn to eliminate entire classes of bugs, manage real-world resources safely, and maximize codebase robustness effortlessly.

All in development

Architecture & Design

Featured in Architecture & Design

Comprehension at AI Speed: Building a Context Store for Evolutionary Architecture

AI makes the first 80% of development feel fast, but hides architectural complexity until it's too late. To prevent system instability, engineering leaders must shift from raw throughput to systemic comprehension. By unifying spec-anchored SDD, TDD, and automated fitness functions into a repo-bound "Context Store," teams can ensure AI agents and human reviewers evolve code safely.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Postgres for Production Agents: Your Relational Foundation for Enterprise AI

Gwen Shapira shares how teams are scaling AI features using PostgreSQL for mission-critical apps. She explains how to leverage Postgres's multi-modal capabilities - including JSONB parsing and high-recall HNSW vector indexing - to deliver deterministic and semantic context to LLMs. She also discusses vector quantization to speed up queries by 4x and strategies for managing agentic memory.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Road to Compliance: Will Your Internal Users Hate Your Platform Team?

Davide de Paolis discusses the realities of rolling out cloud infrastructure compliance without fracturing developer relations. Drawing from a real-world platform team reboot at Sevdesk, he explains how to implement "minimum viable governance" on AWS, utilize event-driven Slack alerting to automate policy feedback, and shift from rigid enforcement to high-empathy, data-driven collaboration.

All in culture-methods

DevOps

Featured in DevOps

Chaos Engineering GPU Clusters

Bryan Oliver discusses the frontier of AI infrastructure: chaos engineering for large-scale GPU clusters. He shares how engineering leaders can handle complex topologies, network protocols like RDMA, and NUMA misalignments. Discover seven practical fault-injection strategies to maximize multi-million dollar hardware efficiency and build robust observability loops.

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.
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AI Engineering Certification

Production AI calls on retrieval, agents, evals, and infrastructure, checked with peers.
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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 July 14.

QCon London

What early-adopter teams have proven in production, across 15 engineering tracks.
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InfoQ Homepage Interviews Chris Anderson on WPF

Chris Anderson on WPF

23:57

Bio

Chris Anderson is an architect at Microsoft in the Connected Systems Division. His focus is on the design and architecture of .NET technologies used to implement the next generation of applications and services. Chris has written numerous articles and white papers, and he has presented and been a keynote speaker at numerous conferences worldwide.

About the conference

Jul 23, 2007

Interview with

Chris Anderson

by

This content is in the .NET topic

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