One Year of Claude Code
The tool was rewritten five times. The discipline to use it wasn't rewritten once. A year of daily AI-assisted development, what it changed, and what it didn't.
Read more →The Neurodivergent Stack: Why Different Brains Built Tech, and Why Agents Need Them
ADHD, autism, and neurodivergence aren't bugs in the system. They're the reason the system exists. And the agentic age is about to prove it.
Read more →The Sunk Cost Fallacy Is Dead
AI collapsed the cost of rebuilding. Corporate decision-makers haven't caught up. The reasoning behind 'but we already built it' no longer holds.
Read more →The Speedrun That Broke Open Source
AI tools that democratize code creation are DDoSing the review layer. Creation now runs at machine speed. Review remains human speed. The asymmetry is crushing maintainers.
Read more →The Junior Dev Pipeline Problem
Stanford data confirms experienced devs are safe. But if AI replaces the on-ramp, where do future seniors come from?
Read more →The Alien Tool With No Manual
Andrej Karpathy built the neural networks inside coding assistants. He taught deep learning to a generation. He feels dramatically behind. If the experts are lost, what does that tell us?
Read more →The LinkedIn Hot Take Problem: Why the AI Discourse Is Backwards
The arguments about vibe coding and junior developers miss what software engineering was always about: shipping products, not typing code.
Read more →The Scaling Trap: When Startups Eat Their Own
At around 30 employees, growing companies either mature or become toxic. Here's the playbook for organizational dysfunction - and why your engineering leaders keep leaving.
Read more →The Quiet Advantage: Introverts in Tech
How modern tools transformed my experience as an introverted engineer and tech leader
Read more →Finding the Craft in the Chaos: A Stoic Take on Job Loss
What happens when you lose external validation and discover what actually matters: the work itself.
Read more →The Hiring Mismatch: When 20 Years of Experience Isn't Enough
Why coding interviews optimized for 2010 fail to identify great engineers in 2025, and why orgs can't adapt fast enough.
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