Did the AI Bubble Just Pop?
The AI trade is facing a hard question: can debt-fueled infrastructure spending and circular financing hold up long enough to find real outside revenue?
Deep dives into systems, architecture, code, design, artificial intelligence, and lessons learned from 15+ years in engineering leadership.
The AI trade is facing a hard question: can debt-fueled infrastructure spending and circular financing hold up long enough to find real outside revenue?
Painting cars and working with AI agents share the same lesson: preparation is what gives good work a chance to last.
A thank-you and personal reflection after being invited to talk about integrations, product work, and the experience that brought me to forward deployed engineering.
What an introductory AI session helped me see about practical implementation, local service, and the work I want to build next.
Why unconverted notes, accrued interest, change-of-control terms, and liquidation preferences can leave common stock with little or no value in an M&A exit.
A case study in identifying PHP runtime exposure, pinning fixed container images, resolving build-context failures, and verifying a coordinated production rollout.
A case study in turning marketing ideas into editable SVGs and Instagram images with an AI coding agent, Python, and Inkscape, without a proprietary design service.
A real-world case study in tool orchestration, evidence management, computational analysis, and human oversight.
What a PHP developer notices when Python becomes a tool for APIs, automation, and workflow pipelines.
Why React remains the industry standard, what Vue makes easier at the start, and where React Native fits next.
A reflection on nonlinear work, useful detours, and choosing what to carry into the next chapter.
Why the monolith remains the fastest, most secure, and most pragmatic starting point for new software projects.
Welcome to my engineering notebook. Here is why I built this markdown-powered blog with Astro, containerized it in Docker, and what topics to expect.