InfoQ - Programming

Presentation: Using AI as a Thinking Partner for Large-Scale Engineering Systems

Julie Qiu — Fri, 15 May 2026 13:00:00 GMT

Julie Qiu explains how AI serves as a "thinking partner" for engineering leaders. She discusses five distinct roles - Archaeologist, Experimenter, Critic, Author, and Reviewer - to manage the cognitive load of 400+ repositories. She shares how AI provides the "RAM" needed to synthesize legacy context, pressure-test designs, and accelerate high-level architectural decisions.

By Julie Qiu

Mini book: Architecting Autonomy: Decentralising Architecture Inside an Organization

InfoQ — Fri, 15 May 2026 11:00:00 GMT

As AI accelerates delivery cycles, traditional centralized architecture becomes a bottleneck. This eMag brings together practitioner insights on decentralizing decision-making and moving from approval chains to guardrails. Discover frameworks for rethinking the architect’s role, creating enabling platforms, and balancing edge autonomy with the strategic coherence needed to scale effectively.

By InfoQ

Presentation: Accelerating LLM-Driven Developer Productivity at Zoox

Amit Navindgi — Thu, 14 May 2026 13:05:00 GMT

Amit Navindgi discusses the systematic shift at Zoox from fragmented documentation to an AI-driven ecosystem. He explains how they built "Cortex," a secure platform integrating RAG, multi-modal LLMs, and contributor-friendly agent APIs. He shares practical strategies for driving adoption through AI champions and hackathons, emphasizing the move from deterministic workflows to autonomous agents.

By Amit Navindgi

Presentation: What I Learned Building Multi-Agent Systems from Scratch

Paulo Arruda — Wed, 13 May 2026 12:01:00 GMT

Paulo Arruda discusses Shopify’s evolution in AI adoption, moving from simple chat tools to a sophisticated swarm of specialized agents. He explains the transition from massive "all-in-one" prompts to lean, narrow-focused agent microservices that slash task times from hours to minutes. He also shares a future-looking hypothesis on using filesystem-based adapters to solve context bloat.

By Paulo Arruda

Article: Local-First AI Inference: a Cloud Architecture Pattern for Cost-Effective Document Processing

Obinna Iheanachor — Mon, 11 May 2026 11:00:00 GMT

The Local-First AI Inference pattern routes 70–80% of documents to deterministic local extraction at zero API cost, reserving Azure OpenAI calls for edge cases and flagging low-confidence results for human review. Deployed on 4,700 engineering drawing PDFs, it cut API costs by 75% and processing time by 55%, while bounding errors through a human review tier.

By Obinna Iheanachor

Podcast: From Java EE to Quarkus and LLMs: Adam Bien’s Playbook for Boring, Future‑Proof Systems

Adam Bien — Mon, 11 May 2026 11:00:00 GMT

Adam Bien, an independent consultant and pioneer of zero dependencies in the enterprise world of Java, highlights the benefits of consistently using standards, regardless of whether they involve Java or existing patterns. He argues that by doing so, he managed to future-proof the systems he built, preparing them for the cloud era and even for the AI-Native era.

By Adam Bien