What Actually Runs When You Walk Away: KiroCrew’s Autonomy Modes, Compared


Once a KiroCrew session is running, there are four ways work can proceed without you driving every turn: Autopilot, the Task Runner, Monitor, and /goal. The docs present them as separate features, and I could not tell which one I was supposed to reach for — so I spent some time working through them question … Continue reading What Actually Runs When You Walk Away: KiroCrew’s Autonomy Modes, Compared →

Bots Club, Ten Years On: The Controls That Take It Into Production


In May 2016 I wrote a short post called Bots Club. One idea, one line: bots should and can work collaboratively as we humans do. Bot to bot, no human in the channel. I built three Hubot demos for my team — bots processing a ticket, bots handling an alert, bots watching cost — and … Continue reading Bots Club, Ten Years On: The Controls That Take It Into Production →

Inside Kiro Crew: How a Persistent AI Agent Actually Works


I've spent the better part of a week living inside Kiro Crew — not just using it, but reading its installed source to understand how it actually works. This post is what I pieced together: a layer-by-layer unpacking of the architecture, from the surfaces you type into all the way down to the kiro-cli subprocess … Continue reading Inside Kiro Crew: How a Persistent AI Agent Actually Works →

The AI Intelligence Report (August 15–21, 2026) — OpenAI Hits the Brakes, Anthropic Races to IPO, and China Owns the Robot Floor


The week the frontier labs diverged: one paused to breathe, the other sprinted toward Wall Street — while the center of gravity in physical AI kept drifting east. Edition: August 15–21, 2026  |  Read time: ~10 minutes  |  Sources reviewed: ~30 across 10 targeted searches Editorial note. The Anthropic and OpenAI revenue and valuation figures … Continue reading The AI Intelligence Report (August 15–21, 2026) — OpenAI Hits the Brakes, Anthropic Races to IPO, and China Owns the Robot Floor →