InfoQ Homepage Artificial Intelligence Content on InfoQ
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Producing the World's Cheapest Tokens: A How-to Guide
Meryem Arik explains how to cut AI inference costs by up to 90% by optimizing batch sizes, hardware selection, and request scheduling for high-volume, non-real-time workloads.
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Leveraging Adversary Emulation for GenAI Red Teaming
Kennedy Torkura explains how to apply GenAI red teaming to secure AWS Bedrock models and knowledge bases, leveraging MITRE ATLAS to discover cloud supply chain vulnerabilities.
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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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The Free-Lunch Guide to Idea Circularity
Holly Cummins explains how tech history rhymes, tracing tradeoffs from the Great Stink to cloud, AI hype cycles, and ZIRP, urging leaders to recycle old engineering disciplines for sustainability.
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Getting Rid of LeetCode Interviews in the World of AI
Daniel Doubrovkine shares why LeetCode interviews are obsolete in the AI era and discusses how engineering leaders must adapt hiring loops to evaluate real-world system design and AI collaboration.
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The Future of Engineering: Mindsets That Matter When Code Isn’t Enough
Ben Greene shares lessons from startups for software engineers navigating AI coding agents. He explains why starting simple, keeping comprehension, and prioritizing customer impact matter.
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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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Engineering AI for Creativity and Curiosity on Mobile
Bhavuk Jain discusses scaling raw AI models into production-grade mobile features. He explains the architecture, runtime guardrails, and fine-tuning behind AI Wallpapers and Circle to Search.
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From OTEL to SLMs: Distilling Frontier Model Behaviour from Production Telemetry
Ben O'Mahony shares how to build a data flywheel for AI agents using OpenTelemetry, explaining how behavioral user signals can be mined to distill and fine-tune smaller, localized language models.
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Postgres for Production Agents: Your Relational Foundation for Enterprise AI
Gwen Shapira discusses how to power enterprise AI features using Postgres, explaining advanced relational SQL context retrieval, pgvector semantic tuning, and transitioning to agentic workflows.
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The Multi-Agent Approach: Building Reliable and Controllable Software Development Automation
Itamar Friedman explains how to transition from "vibe coding" to reliable software delivery. Learn how to govern agent communication and build a context-driven SDLC that scales.
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