When Context Collapses: Teaching Agents to Detect and Recover from Lost Memory
This is the eighth article in a series on agentic engineering and AI-driven development. Read part one here, part two here, part three&…
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The PM’s Playbook for Shipping AI Features That Actually Work in Production
The demo to Production Death Valley If you’ve worked on an AI feature, you know the feeling. You start building something that you are excited a…
The Subsidy Ended: What Tool-Using Agents Actually Cost
On June 1, GitHub Copilot’s usage-based billing became active for all Copilot plans, and developers reacted quickly and loudly. A Pro plan still…
The AI Agents Stack (2026 Edition)
The following article originally appeared on Paolo Perrone’s The AI Engineer Substack and is being reposted here with the author’s permission. Your te…
Predict, Don’t Enumerate
A third of the way into a security-operations guide that Anthropic published in April 2026, wedged between a recommendation to patch CISA’s Know…
Context as Code
As syntax becomes cheap and abundant, architectural control becomes the scarce resource. Effective governance starts upstream, where intent, constrain…
The Agentic P&L: Beyond the Empire of Headcount
For over a century, both the prestige and budget of a corporate department have been measured by a single crude metric: headcount. If you manage 500 p…
Agent Harness Engineering
This article was originally published on Addy Osmani’s blog. It’s being reposted here with the author’s permission. Roughly: Anytime you find an agent…
Ryan Carson Is a One-Person Code Factory
Ryan Carson has built companies for 25 years, including Treehouse, which taught over a million people to code. He knows what it takes to grow a team. …
From Capabilities to Responsibilities
Human-in-the-Loop becomes an operational bottleneck In my previous article, ”The Missing Layer in Agentic AI,” I argued that AI agents need a determin…
Fighting Tool Sprawl: The Case for AI Tool Registries
As enterprise AI agent adoption scales, the absence of centralized, organization-level tool infrastructure is producing compounding costs. When adopti…
The Best Risk Mitigation Strategy in Data? A Single Source of Truth
Every data leader has a version of this story. A regulatory audit surfaces a metric that doesn’t match across systems. A board member catches co…
Eating My Own Dog Food: How I Used the Framework to Write the Post About the Framework
In “Don’t Automate Your Moat,” I argue that engineering organizations should match AI autonomy to two independent dimensions: business risk and compet…
Everyone’s an Engineer Now
Cat Wu leads product for Claude Code and Cowork at Anthropic, so she’s well-versed in building reliable, interpretable, and steerable AI systems. And …
When Correct Systems Produce the Wrong Outcomes
We tend to assume that if every part of a system behaves correctly, the system itself will behave correctly. That assumption is deeply embedded in how…
Show Your Work: The Case for Radical AI Transparency
A colleague told me something recently that I keep thinking about. She said, unprompted, that she appreciated seeing both sides of my AI conversations…
Emergency Pedagogical Design: How Programming Instructors Are Scrambling to Adapt to GenAI
ChatGPT has been publicly available for over three years now, and generative AI is woven into the tools students use every day: web search, word proce…
Don’t Blame the Model
The following article originally appeared on the Asimov’s Addendum Substack and is being republished here with the author’s permission. Ar…
Scenario Planning for AI and the “Jobless Future”
We all read it in the daily news. The New York Times reports that economists who once dismissed the AI job threat are now taking it seriously. In Febr…
Trial by Fire: Crisis Engineering
The following article originally appeared on Jennifer Pahlka’s Eating Policy website and is being republished here with the author’s permission. I rea…
From Capabilities to Responsibilities
Human-in-the-Loop becomes an operational bottleneck In my previous article, ”The Missing Layer in Agentic AI,” I argued that AI agents need a determin…
Eating My Own Dog Food: How I Used the Framework to Write the Post About the Framework
In “Don’t Automate Your Moat,” I argue that engineering organizations should match AI autonomy to two independent dimensions: business risk and compet…