Commentary

Papers on agentic and multi-agent systems (MAS) skyrocketed from 820 in 2024 to over 2,500 in 2025. This surge suggests that MAS are now a primary focus for the world’s top research labs and universities. Yet there is a disconnect: While research is booming, these systems still frequently fail when they hit production. Most teams […]

Papers on agentic and multi-agent systems (MAS) skyrocketed from 820 in 2024 to over 2,500 in 2025. This surge suggests that MAS are now a primary focus for the world’s top research labs and universities. Yet there is a disconnect: While research is booming, these systems still frequently fail when they hit production. Most teams

This post first appeared on Nick Tune’s Medium page and is being republished here with the author’s permission. Example architecture flow reverse-engineered by Claude Code I have been using Claude Code for a variety of purposes, and one thing I’ve realized is that the more it understands about the functionality of the system (the domain,

The hard truth about AI scaling is that for most organizations, it isn’t happening. Despite billions in investment, a 2025 report from the MIT NANDA initiative reveals that 95% of enterprise generative AI pilots fail to deliver measurable business impact. This isn’t a technology problem; it’s an organizational design problem. The reason for this systemic

For 30 years, digital commerce has been a destination. We “go to” a website, a marketplace, or an app. In this single, bundled environment, we handle discovery, comparison, and checkout. The entire architecture of the web, from product pages to payment gateways, is built on this assumption. This assumption is now facing its first real

This post first appeared on Mike Amundsen’s Signals from Our Futures Past newsletter and is being republished here with the author’s permission. We’re long past the novelty phase of AI-assisted coding. The new challenge is measurement. How do we know whether all this augmentation—Copilot, Cursor, Goose, Gemini—is actually making us better at what matters? The

This post first appeared on Mike Amundsen’s Signals from Our Futures Past newsletter and is being republished here with the author’s permission. We’re long past the novelty phase of AI-assisted coding. The new challenge is measurement. How do we know whether all this augmentation—Copilot, Cursor, Goose, Gemini—is actually making us better at what matters? The

This post first appeared on Aman Khan’s AI Product Playbook newsletter and is being republished here with the author’s permission. Let me start with some honesty. When people ask me “Should I become an AI PM?” I tell them they’re asking the wrong question. Here’s what I’ve learned: Becoming an AI PM isn’t about chasing

This post first appeared on Nick Tune’s Weird Ideas and is being republished here with the author’s permission. A well-crafted system prompt will increase the quality of code produced by your coding assistant. It does make a difference. If you provide guidelines in your system prompt for writing code and tests, coding assistants will follow

Evals are having their moment. It’s become one of the most talked-about concepts in AI product development. People argue about it for hours, write thread after thread, and treat it as the answer to every quality problem. This is a dramatic shift from 2024 or even early 2025, when the term was barely known. Now