It was only once I read Andrew Yang's "The End of the Office" post the other day that I realized how few political leaders are seriously grappling…

The first time I visited GitHub's HQ2 in 2012, they had a TV showing off their first animations of Mona and were using it to push their new tagline: Social…

The USB-C port has become a defacto connectivity standard for modern devices, largely supplanting the ugly mess of barrel jacks and micro USB connectors that once cursed us. While their reliability…

In theory having a single device that combines the features of multiple dedicated devices is a great idea, saving a lot of space, time and money. However, in reality it mostly means that these feat…

AI makes code cheap to produce and expensive to trust. When polish no longer implies understanding, verification becomes the only reliable signal.

Most multi-agent AI systems fail expensively before they fail quietly.The pattern is familiar to anyone who's debugged one: Agent A completes a subtask and

For some reason, a bunch of big companies are really leaning into Markdown right now. AI may be the reason, but I kind of love the possible side benefits.

My favorite UX metaphor, the scrolling window manager, is having a moment thanks to innovations like Niri and Dank Linux.

You did your best, but it happened: somebody told you that you are the one who has to measure the ROI of AI on the developers in your software organization.  I like to imagine that when this is your first time getting pulled into being responsible for estimating a generalizable

One engineer used AI to rebuild Next.js on Vite in a week. vinext builds up to 4x faster, produces 57% smaller bundles, and deploys to Cloudflare Workers with a single command.

Why multi-agent systems are probabilistic pipelines

Thick clients were the dominant form of device throughout the PC and mobile era; in an AI world, however, thin clients make much more sense.

An eight-month study found that these tools made productivity surge—as well as cognitive fatigue, unsustainable hours, and other problems.

Devops teams are partnering with AI copilots and agents to manage multicloud complexity. Here are seven ways genAI can improve multicloud adoption, governance, observability, and more.

The AI company claims DeepSeek, Moonshot, and MiniMax used fraudulent accounts and proxy services to extract Claude’s capabilities at scale, even as experts point out that the industry itself relies heavily on publicly available data.

Generating code without a rigorous validation framework is not engineering. It is simply mass-producing technical debt.

AI removes the difficulty of writing code. It does not remove the responsibility of designing systems.

This post first appeared on Addy Osmani’s Elevate Substack newsletter and is being republished here with the author’s permission.TL;DR: Aim for a clear

We are fast approaching the day when anyone with an idea will be able to create an application or a website in hours.

Seeking new ways of being wild in new nature

by Anton Cebalo

A timely repost.

We need a new kind of wisdom for our planetary age, one that synchronizes the signals, rhythms and boundaries of our natural world across domains.

Putting humans and LLMs head-to-head in classic tests of judgment from human psychology underscores the differences between them

Architecture alone does not make authorization trustworthy. Over time, access control only works if intent can be understood, traced, and shown to produce legitimate outcomes in real systems. This post explores how AI can support the governance of access control by helping teams connect policy intent to effective access, producing coherent evidence that policy behaves the way it is meant to.

Agentic AI systems expose the limits of static authorization models, which assume permissions can be decided once and remain valid over time. As agents plan, act, and replan, authorization must become a continuous feedback signal that constrains behavior at each step rather than a one-time gate. Dynamic, policy-based authorization enables delegation to be enforced through purpose, scope, conditions, and duration, turning denial into a productive signal that guides replanning instead of a terminal failure.

Client-side certificates were technically sound in the 1990s, but they failed because individuals weren't willing to pay for identity proofing. SEDI fixes that economic flaw by providing a state-endorsed, high-assurance digital identity to anyone who wants one, creating a durable foundation for secure online transactions and future digital credentials.

This article demonstrates how to move authorization inside the agent loop by inserting a Cedar-backed policy decision point into OpenClaw, so that every tool invocation is evaluated at runtime. Instead of acting as a one-time gate, authorization becomes a continuous feedback signal that guides replanning and enforces Zero Trust principles for agentic systems.