Articles
What Breaks When You Sprint with 10 AI Agents
Wave-based sprint execution across a fleet of machines works until local state drifts from remote. Here is what we learned.
Finding Four Auth Vulnerabilities in One Code Review
How AI-generated prototype code accumulates auth debt and how one code review session catches it systematically.
What Running Multiple Ventures with AI Agents Actually Costs
Every line item for running an AI-native dev lab across multiple projects. Total: about $490 a month.
PWA vs Native App - When to Skip the App Store
A decision framework for choosing PWA over native when you have not validated product-market fit yet.
Secrets Management for AI Agent Teams
How to manage secrets across projects, machines, and autonomous agents without .env files, hardcoded credentials, or accidental exposure.
Multi-Model Code Review - Why One AI Isn't Enough
Why sending code through multiple AI models with different strengths produces higher-confidence findings than any single model.
How We Built an Agent Context Management System
Building centralized context management so AI agents start every session with the right knowledge.
Building a Dark-Theme Design System with Tailwind v4
How we built a dark-first design system using CSS custom properties and Tailwind v4 theme configuration.
Documentation as Operational Infrastructure
Why we treat runbooks, ADRs, and handoff records as infrastructure that self-heals, version-tracks, and delivers itself to agents automatically.