Exploring the intersection of software engineering, AI, and the technologies shaping our future
Design systems are now critical infrastructure. The W3C Design Tokens spec, React Server Components, and micro-frontends are reshaping component architecture. Here's what that looks like from inside an enterprise eCommerce stack.
AI's biggest climate impact isn't flashy breakthroughs. It's optimization, forecasting, and giving policymakers the evidence they need to act faster.
AI is transforming medicine from drug discovery to cancer diagnostics. How machine learning designs molecules no chemist imagined, catches cancers earlier, and is accelerating the path from lab to cure.
How does the Hail Mary ship work? Astrophage fuel stores energy near the E=mc² theoretical limit, powering a photon drive across 12 light-years to Tau Ceti. A breakdown of the real physics behind Andy Weir's interstellar spacecraft in Project Hail Mary.
The 2026 MLB season brings the most significant change to ball-and-strike calls in the sport's history: the Automated Ball-Strike Challenge System. But behind the Hawk-Eye cameras and 5G networks lies something more fundamental — a strike zone that is, for the first time, defined purely by math.
AI is disrupting design jobs the way it has coding — but the story has a twist. As engineers bypass designers with AI tools and companies cut creative roles, the market for handmade, traditional art is surging. In a world flooded with digital content, the human hand is becoming more valuable.
AI coding agents boost speed and productivity, but they risk eroding core engineering skills. As developers shift from building systems to prompting models, deep understanding can weaken. The challenge isn’t using AI—it’s ensuring it augments thinking rather than replaces it.
A reflection on the Epstein Drive from The Expanse—why it feels so plausible, how it exposes the limitations of today’s propulsion technology, and what real-world advances in fusion, materials, and heat management would be required to turn science fiction into reality.
NASA’s Artemis program uses AI to enhance navigation, detect anomalies, assist landings, and support mission planning. As missions expand, AI will enable autonomous lunar operations while humans remain central to decision-making and exploration.
AI data centers face soaring costs and environmental stress, but solutions exist. Liquid cooling, renewable power, optical networking, edge deployment and futuristic ideas like high-altitude or space computing could make AI cheaper, cleaner and more sustainable.
Astrophage is a fictional organism with extreme energy storage, inspired by real biology like ATP, lipids, and extremophiles. Andy Weir grounds the concept in real science, exploring how life might store massive energy or survive near a star while pushing biology into speculative territory.
TrackMan data now drives MLB scouting, shaping draft value and trade decisions. Pitch metrics like spin, movement, and VAA help teams identify pitchers with elite traits, while exit velocity and barrel rates reveal hitters with strong projection and underlying power.
A weekend project created a 3D Solar System simulator that models planets, orbits, propulsion systems, and flip-and-burn trajectories. It blends science and visualization, showing how fast complex space-travel tools can be built with modern AI-assisted development.
AI agents now generate code, plan tasks, and work across tools, making clear communication essential. Technical writers are becoming key players in guiding and structuring AI-driven development, shaping how software is planned, built, and maintained.
AI is transforming white-collar work, but trades like plumbing and electrical work remain hard to automate. While AI can design and diagnose, real-world repair requires dexterity, judgment, and trust—skills robots still lack. The future will augment, not replace, the hands-on worker.
Companies are pouring money into AI, like Amazon’s Anthropic deal, while cutting jobs to fund it. They’re restructuring around automation to boost efficiency, stay competitive, and future-proof operations, shifting routine work to AI and reskilling some workers for new roles.
The days of pulling up Google to search for answers to question are already coming to an end. What will the future "search" on websites look like in a few months, a year, or the next 10 years?
I've been using Copilot for a while now, but started to experiment with a portfolio side project using Claude, and I fear I can't go back now.
After a decade without a web presence, I have decided to get some software and art examples together to showcase.
MLB scouting teams are leaning more and more on AI to make decisions for the draft, defense alignment, contract negotiations, as well as how to keep players healthy. They're just getting started.
