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Development

Featured in Development

The Rust High Performance Talk You Did Not Expect

Ruth Linehan explains how migrating high-performance caching services from Kotlin to Rust shattered internal preconceptions around delivery velocity and engineering overhead. She discusses the ergonomics of the Rust borrow checker, shares how compile-time safety shortens the developer feedback loop, and profiles how tools like Criterion and flamegraphs optimize concurrent code paths.

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

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Production AI calls on retrieval, agents, evals, and infrastructure, checked with peers.
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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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What early-adopter teams have proven in production, across 15 engineering tracks.
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MonoDevelop reaches RTM

Late last week the MonoDevelop team at Novell announced the RTM of MonoDevelop 1.0.

James Vastbinder
on Mar 17, 2008

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Topics

The Rust High Performance Talk You Did Not Expect

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

Postgres for Production Agents: Your Relational Foundation for Enterprise AI

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

Chaos Engineering GPU Clusters

Helpful links

Choose your language

News

MonoDevelop reaches RTM

The Rust High Performance Talk You Did Not Expect

How to Build More Resilient Local-First Applications with AT Protocol Infrastructure

Cloudflare Identifies Race Condition in hyper’s HTTP/1 Implementation

Stripe Benchmark Shows AI Agents Build Integrations but Struggle with Validation

Google and Industry Partners Announce Agentic Resource Discovery Specification for AI Agents

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

Developing and Deploying a Platform that the Business Understands and Developers Actually Want

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

Formal Methods for Every Engineer in an AI-Powered Future

QCon AI Boston: Production AI Moves Beyond Prompts to Platforms, Harnesses, and Evals

Postgres for Production Agents: Your Relational Foundation for Enterprise AI

Meta's Noninvasive Brain–Computer Interface Brain2Qwerty Achieves 61% Accuracy

How Uber Builds Zone-Failure-Resilient OpenSearch Clusters

Linkerd 2.20 Delivers Smarter Traffic Management and Dramatic Efficiency Gains

Chaos Engineering GPU Clusters

Online InfoQ AI Engineering Certification

Online InfoQ Architect Certification

Online InfoQ AI Security & Privacy Engineering Program

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QCon London 2027

InfoQ Software Architects' Newsletter

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