InfoQ Homepage Architecture Content on InfoQ
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From Thousands to One: Building LLM-Powered Selection Systems
Jendrik Jördening explains how to build reliable LLM architecture by enforcing strict schemas, separating AI text reasoning from deterministic code, and applying automated output validation.
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From Models to Agents: Building Context-Aware Consumer AI at Scale at DoorDash
Sudeep Das explains how DoorDash transforms e-commerce recommendations using LLM-driven semantic consumer memory, hierarchical semantic IDs, grounded agentic search, and multi-tiered LLM ranking.
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Keeping ChatGPT Fast as AI Development Accelerates
Martin Spier shares how agentic coding accelerates release velocity at OpenAI and explains how always-on AI agents redefine performance engineering to keep ChatGPT fast at massive scale.
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Rewriting All of Spotify's Code Base, All the Time
Aleksandar Mitic and Jo Kelly-Fenton discuss how Spotify uses "Honk," a background AI coding agent, to automate codebase migrations at scale and tackle the ongoing maintenance problem.
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From ms to µs: OSS Valkey Architecture Patterns for Modern AI
Dumanshu Goyal explains how moving from proxied architectures to direct access in Redis/Valkey slashes tail latency to microseconds, lowers costs, and eliminates single points of failure.
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Microservices Platforms: When Team Topologies Meets Microservices Patterns
Chris Richardson explains how microservices platforms reduce team cognitive load, sharing six key platform patterns to streamline delivery and accelerate software development flow.
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Architecting AI Systems for the Messy Reality of Enterprises: Why Agentic Compute is the Missing Layer
Arun Joseph explains how to successfully build and deploy enterprise-grade agentic platforms by leveraging existing teams, JVM stacks, and a "compute as the agent" architectural paradigm.
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Parting the Clouds: the Rise of Disaggregated Systems
Murat Demirbas explains how cloud economics drive compute-storage disaggregation in modern database architectures. He shares insights on network bottlenecks, Paxos origins, and future tech.
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Compiling Workflows into Databases: the Architecture That Shouldn't Work (But Does)
Jeremy Edberg & Qian Li explain how to replace complex external orchestrators with DBOS Transact, an open-source library that implements durable workflow execution directly inside your database.
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From Copy-Paste to Composition: Building Agents Like Real Software
Jake Mannix explains how to mature AI agents using "virtual tools" for encapsulation, interface abstraction, and deterministic taint tracking to prevent lethal data exfiltration risks.
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Lessons Learned in Migrating to Micro-Frontends
Luca Mezzalira discusses a practical roadmap for migrating to micro-frontends, explaining how to optimize for team autonomy, identify domain boundaries, and leverage edge-compute routing.
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Chaos Engineering GPU Clusters
Bryan Oliver explains how to apply chaos engineering to massive GPU clusters. Learn how to handle hardware variability, NUMA nodes, and network faults to secure your AI infrastructure.
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