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The Interfaces Are Arriving

The most consequential AI news of the past year came from a standards body. In December 2025, Anthropic donated the Model Context Protocol to the newly formed Agentic AI Foundation, a directed fund under the Linux Foundation cofounded by Anthropic, Block, and OpenAI, with support from Google, Microsoft, AWS, Cloudflare, and Bloomberg. Six months earlier, […]

Operating Mode as Runtime State: A Contract for Enterprise

During a service incident, a customer-remediation workflow is moved onto an emergency route because the situation is critical and the team needs a fast resolution. Approvals are shortened, a priority queue is opened, and an on-call agent is cleared to use an alternate procedure until the service recovers. The incident ends, but the route stays […]

When Content Is Free, Trust Is the Product

There is more technical content available today than any human being could read in a thousand lifetimes. Every topic has a dozen YouTube videos, three Substack posts, a GitHub repo, and a Reddit thread, most created in the last six months and, in many cases, technically accurate. And yet most of the professionals I talk […]

Own the Outer Loop

The following article originally appeared on Addy Osmani’s blog and is being republished here with the author’s permission. In the past year, the conversation around agentic engineering has moved to harnesses and loops, fleets and software factories. My 2 cents is engineers need to own the outer loopβ€”the accountability for these systems. This only gets […]

LLMs Reward Expertise

The following article originally appeared on Sean Goedecke’s blog and is being republished here with the author’s permission. In the 2010s, if you had technical gaps (say, you couldn’t write CSS), you had to either rely on a skilled colleague or just hope that the answer to your exact problem was out there on the […]

Experience Mapping Matters More the Faster You Move

AI is changing how fast organizations can move. Ideas that used to take months to build now take days, sometimes hours. That sounds like good news, and it is. But it creates a new problem. When execution is fast, teams can move in many directions at once. Marketing can ship a new campaign, product can […]

Inside a Software Factory

As a software engineer with more than seven years of experience before the coding-agent era, I never liked the idea of vibe coding. But I knew there was a clear line between it and using coding agents to generate clean, maintainable code. That line, where good software principles meet coding agents, is defined by software […]

Hey AI, Can You Just Give Me a Hat Tip Please?

Sometime in the next few months, Anthropic is supposed to send me a check. Around $9,000 for me, about the same for my longtime coauthor Jenny Greene, and roughly $18,000 for O’Reilly, our publisher. The reason is that pirated copies of the books Jenny and I wrote, along with a huge amount of other people’s […]

What a User Story Actually Costs in a Dark Code Factory

Between March and July 2026, I built a production application of 861,601 lines of code. This included 696 user stories and 779 merged pull requests over 105 days, but I can’t tell you what it cost. The first version of an autonomous SDLC framework driving Claude Code did the work. That generation didn’t record usage, […]

Architectural Guardrails for AI-Generated Code

Consider a composite of a failure pattern that’s becoming increasingly common on teams that have scaled AI-assisted development past a handful of enthusiasts. A staff engineer named Priya opens a pull request. The PR is 340 lines and adds an endpoint that writes to the customer table directly, bypassing the internal customer service API. The […]

Tokens Aren’t Dollars

The following article originally appeared on Tim O’Brien’s Medium blog and is being republished here with the author’s permission. AI costs are easy to count and hard to understand, and judging effort by a token volume? While that might feel like a valid measure of value or complexity, it doesn’t capture the details that define […]

Writing with AI

A lot of professional writers say they never do it. And for writers who do, the consequences can be serious. Book contracts have been withdrawn. People have lost jobs. I have a contrarian view. I say AI is a medium, like painting, sculpture, photography, music, or language itself. If AI is a medium, it is […]

The Identity Crisis No One Planned For: Governing Nonhuman Agents at Enterprise Scale

For a decade, identity and access management meant one thing: governing the humans who log in. Employee joins, gets provisioned, gets a manager, gets a departure date, gets offboarded. That loop is well understood. What changed is that the fastest-growing population inside enterprise environments is no longer human, and the governance playbook written for people […]

Effective Patterns for Advanced MCP Usage

The following article originally appeared on PulseMCP’s blog and is being republished here with the authors’ permission. Most MCP demos feature a single server connecting to a single client. For example, you might wire up a Gmail MCP server to Claude Code. It works! It triages your inbox, drafts replies, finds that thing from three […]

When Smaller Models Win

The following article originally appeared on the Asimov’s Addendum blog and is being republished here with the author’s permission. Even the best AI models can suck at chess The launch of ChatGPT had an interesting effect on the online chess discourse. Chess has already long been conquered by machines. As early as 1996 a computer […]

The Design System as the Control Plane for AI-Generated UI

AI-assisted development has made it easier to generate frontend code quickly. A developer can ask for a form, a dashboard widget, a settings page, or a modal flow and get a working first draft in seconds. That speed is useful, especially when teams are moving through routine UI work. But speed creates a problem that’s […]

Data Intelligence: Building Your Competitive Advantage in the Era of AI

To keep pace with modern business, data strategy is shifting toward more autonomous real-time systems that deliver intelligence at the moment decisions are made. Driven by agentic AI, modern data teams are moving beyond simply looking at what happened. Now they’re automating complex workflows that analyze what’s happening, anticipate what might happen next, and recommend […]

The Agent-Era Career

The following article originally appeared on Addy Osmani’s blog site and is being republished here with the author’s permission. If the AI layer gets good at anything, it will be anything that has an answer key. School used to be answer keys all the way down. School is the ultimate anchoring of success, because it’s […]

Principal Drift in Practice

In 2026, the software engineering community is divided by a simple question: Should AI engineers still read the code generated by their agents? One camp argues that code has become virtually free to produce and discard, so humans should focus on systems and guardrails rather than implementation details. The other warns that blindly trusting AI […]
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