InfoQ - Artificial Intelligence

Anthropic Introduces Routines for Claude Code Automation

Daniel Dominguez — Fri, 15 May 2026 15:51:00 GMT

Anthropic has introduced a new feature called Routines for Claude Code, allowing developers to configure automated coding workflows that run on schedules, through API calls, or in response to external events.

By Daniel Dominguez

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

Anthropic Launches Claude Platform on AWS

Daniel Dominguez — Wed, 13 May 2026 19:20:00 GMT

Anthropic has announced the general availability of Claude Platform on AWS, a new deployment option that gives AWS customers direct access to Anthropic’s native Claude platform using AWS authentication, billing, and monitoring services.

By Daniel Dominguez

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

Presentation: Leadership in AI-Assisted Engineering

Justin Reock — Fri, 08 May 2026 12:40:00 GMT

Justin Reock discusses the reality of AI’s impact on engineering, moving past anecdotes to hard data from DORA and DX research. He explains the "GenAI Divide" - where 95% of pilots fail - and shares how leaders can use the SPACE and Core 4 frameworks to measure true ROI. He explains how to balance speed with quality, reduce developer fear, and apply agentic solutions across the entire SDLC.

By Justin Reock

Cloudflare Launches “Artifacts” Beta, Introducing Git-Like Versioning for AI Agents

Craig Risi — Fri, 08 May 2026 12:00:00 GMT

Cloudflare has announced the beta release of Artifacts, a new system designed to bring Git-style version control to AI agents, enabling developers to track, manage, and evolve agent-generated outputs with the same rigor as traditional code.

By Craig Risi