Orbital Lasers vs For Loops: Economically Matching Models to Tasks — Stephen Sennett at AI Engineer Melbourne 2026

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What Killed My Chat-as-a-Service? — Shubh Chatterjee at AI Engineer Melbourne 2026

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Beyond Forgetful Bots: Architectural Patterns for Persistent, Proactive Claw-Style AI Agents — Navan Tirupathi at AI Engineer Melbourne 2026

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Why Most AI De-Identification Fails in Production, And How We Built One Lawyers Actually Trust — Moin Zaman at AI Engineer Melbourne 2026

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What We Learned Taking a Culture-First Approach to AI Adoption at scale — Eric Grigson & Paul Hughes at AI Engineer Melbourne 2026

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AI Agents Are Distributed Systems — Lovee Jain at AI Engineer Melbourne 2026

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Your weekly reading from Web Directions–Where Does the Rigor Go?

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Edge AI with Direct Device Control — Jeremy Kelaher at AI Engineer Melbourne 2026

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Treating Infrastructure as Data: Building an AI-Native Control Plane — Jeffrey Aven at AI Engineer Melbourne 2026

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AGENTS.md is the wrong conversation — Jakub Riedl at AI Engineer Melbourne 2026

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Agent Observability: Monitoring and Understanding Agents at Internet Scale — Daniel Nadasi at AI Engineer Melbourne 2026

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Legacy Software + Agentic Discovery — Chris Rickard at AI Engineer Melbourne 2026

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When a Small Language Model Beat Our LLM in Production — Avni Bhatt at AI Engineer Melbourne 2026

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Your weekend reading from Web Directions

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The Verifying Mind: How AI is reshaping the Software Development Lifecycle

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Your Agents Pass Every Benchmark—Then Memory Breaks Them in Production — Ananya Roy at AI Engineer Melbourne 2026

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How Many Agents Are Too Many? The Hidden Cost of Multi-Agent Systems — Anannya Roy Chowdhury at AI Engineer Melbourne 2026

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Shipping Sandboxed Workers for Notion Agents — Adam Hudson at AI Engineer Melbourne 2026

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A huge weekend reading from Web Directions

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The structure of revolutions–your weekend reading from Web Directions

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