Open Source Ecosystems
The following article originally appeared on the Asimov’s Addendum Substack and is being reposted here with the author’s permission. Bill …
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Your AI Agent Already Forgot Half of What You Told It
This is the seventh article in a series on agentic engineering and AI-driven development. Read part one here, part two here, part three…
Get a Good Return on Your AI Investments
Last week, we had our first Infrastructure & Ops superstream of 2026, Platform Engineering in the Age of AI. Our speakers explored a range of topi…
Agent Skills
The following article originally appeared on Addy Osmani’s blog and is being reposted here with the author’s permission. The default behavior of any A…
Who Authorized That? The Delegation Problem in Multi-Agent AI
Your AI agent booked a meeting, summarized a financial report, and emailed the highlights to three stakeholders. To do this, it called a calendar agen…
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…
The Agent Stack Bet
The following article originally appeared on the Elevate newsletter and is being reposted here with the author’s permission. Peek under the hood…
When an Agent Deletes the Production Database
Another day, another example of an AI Agent “running rogue” and doing something the human operator didn’t want it to do. The tl;dr i…
AI Artifact Catalogs: Durable Standards Worth Institutional Investment
Companies everywhere are trying to leverage AI to boost internal productivity metrics. Some, like Ramp and Intercom, are succeeding. Many are failing.…
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…
Why Doesn’t Anyone Teach Developers About Context Management?
This is the sixth article in a series on agentic engineering and AI-driven development. Read part one here, part two here, part three here, part four …
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. …
Your AI Problem Is a Data Problem
I just sat in a room full of data engineers the other week who were worrying about AI automating them out of work the same way auto manufacturing in D…
Burnout and Cognitive Debt
Steve Yegge’s article about programmer burnout (“The AI Vampire”) along with Margaret Storey’s article about Cognitive Debt started an ongoing convers…
Gyms for Them, Mirrors for Us
Personal AI doesn’t have to run your life to change it. It just must see you clearly and feed your behavior back to you in a way you can’t dodge. Once…
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…
The Organization Is the Bottleneck
Everyone is adopting AI coding tools. Engineers are writing code faster than ever. But are organizations actually delivering value faster? That’s not …
Radar Trends to Watch: May 2026
The most significant tension in this issue is between two companies making different decisions about how to handle AI with frontier security capabilit…
Local AI
The release of Gemma 4 has added energy to the discussion of local models and their importance. Models that you can download and run on hardware you o…
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 …
AI Code Review Only Catches Half of Your Bugs
This is the fifth article in a series on agentic engineering and AI-driven development. Read part one here, part two here, part three here, and part f…
Don’t Automate Your Moat: Matching AI Autonomy to Risk and Competitive Stakes
I was talking to a senior engineer at a well-funded company not long ago. I asked him to walk me through a critical algorithm at the heart of their pr…
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…
Behavioral Credentials: Why Static Authorization Fails Autonomous Agents
Enterprise AI governance still authorizes agents as if they were stable software artifacts.They are not. An enterprise deploys a LangChain-based resea…
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…