

Play as TANK, a lone human warrior in 2129, fighting drones, sentinels, and hiveguards across room-based levels to reach the CORTEX core. Time EMP shockwaves, collect health, thruster-boost over spike pits.
Things I made because I wanted to, not because they fit the thesis. Different stacks, different eras, different rules. The common thread is caring about the craft past the point where anyone is watching.


Play as TANK, a lone human warrior in 2129, fighting drones, sentinels, and hiveguards across room-based levels to reach the CORTEX core. Time EMP shockwaves, collect health, thruster-boost over spike pits.
Most of what I do sits at the intersection of systems, AI tooling, and developer experience. Thirty years in quality engineering and product leadership taught me what the best tools feel like. The last three years taught me I can build them myself.
When local LLMs became serious — models loading into VRAM, inference running in the background, GPU memory turning into a first-class concern — I found myself staring at Task Manager and coming up empty. The tool for the moment did not exist, so I wrote it. That became Dofek. Shipped in Rust because performance is not optional for a monitor, built on trading-terminal principles because developers making real-time decisions deserve the same visual language as traders making theirs.
The same logic produced Fluent, Lodestar, and SiliconVault. Each started as me staring at a gap nobody else was building toward, then reaching for Claude Code instead of waiting.
The day job is the same instinct at scale. As EVP Product & CPO at Mend.io I am building security for the agentic era, where AI writes the code and verification becomes the bottleneck. The thesis I write about here is the one I run there.
The best tools are opinionated, visually sharp, and built by people who were frustrated enough to stop waiting for someone else to do it.
Owning product strategy and roadmap for an AppSec platform built for a world where AI agents generate the majority of code. Translating three decades of quality engineering into security guarantees for autonomous software development.
Scaled the automation portfolio through full SaaS migration without customer churn. Launched AI-powered features ahead of the market. Drove M&A strategy, white-label deals, OEM partnerships, and acquisitions to expand the portfolio. Managed the world's leading end-to-end test automation platform through a period of transformational change.
Two audiences, one through-line. Executives who hired or partnered with me across three decades, and builders who picked up Fluent and actually shipped something.
Advising a few companies on the agentic shift. Occasional keynotes. Always up for a good conversation about what comes next.
Thirty years building software quality. Now architecting what ships next, at the speed AI actually moves. Part veteran operator, part hands-on builder in the open.
› CorgiMind is my personal imprint — one domain, many experiments, no company behind the curtain.
This week everyone learned to give the new frontier model more room. Longer runs, fewer check-ins, loops that prompt it for you while you sleep. Good advice, and also a precise description of the one place you can least afford your most capable model. The traits that let you stop watching it are the traits that set how much damage it does when something upstream takes hold. Where you put the smartest model was never a capability call. It is a security one.
Welcome to the first edition of Securing the Agentic Era. Once a month I take one real development in AI and security and work through what it actually changes for the people building and shipping software. This first one starts where the thesis does: with something that passed every check and still went wrong.
Why Mend.io. Why now. A couple of days ago I said more was coming. Here it is. The timing. The category is forming right now, and the window to define it is months, not years.
Generating ten thousand lines of code with a modern AI assistant costs about $25. Verifying them costs about $1,500. That 60-to-1 cost asymmetry is the agentic era's version of technical debt, and it does not show up in your sprint burndown. The product organizations measuring it will own the next decade.
He wakes me up at 5 AM in TARS-from-Interstellar's voice. Runs on a $22 VPS, holds my memory in SQLite, fires eighteen scheduled jobs, and has quietly become the most useful tool I own. Here's how he's wired.
AI-powered competitor monitoring and strategic analysis platform
Personal AI assistant deployment: Hetzner VPS + Windows workstation (WSL2).
A configurable, segment-based status line for Claude Code that shows git info, context usage, session cost, model name, and more — right in your terminal.
Claude + Playwright Demo solution
A Commodore 64 Arkanoid clone written in pure C using the cc65 cross-compiler. Runs on real C64 hardware and the VICE emulator.
Modern Dash is a modern clone of the Boulder Dash Game from the Commodore 64
Four products. Two for builders, one for product leaders, one for collectors. All shipped, all in the open — one of them literally open source. Proof that the cost of building has collapsed to the point where an operator with taste can ship real things, solo.