Engineering notes.
Practical writing on building engineering teams, AI-native delivery and production systems, from the people doing the work.
Engineering teams · · 9 min
Engineering staff augmentation vs. outsourcing: how to add capacity without losing ownership
Staff augmentation, outsourcing and hiring all add engineering capacity. They differ on one thing that matters more than price: who owns the work.
Read the guideAI Engineering · · 5 min
The PoC to Production Gap: Why Modular AI Pipelines are the Secret to Scaling
PoCs rarely fail on model quality. They fail on architecture. Modular pipelines treat the model as a replaceable part and survive the trip to production.
Read the guideAI Engineering · · 8 min
Why We Built the AI Pipeline Engine
Software delivery has a speed problem, not a talent problem. The AI Pipeline Engine is our answer: a multi-stage pipeline that augments engineers from discovery to production.
Read the guideAI Engineering · · 6 min
AI-First Development: What It Actually Means in 2026
Most teams bolt a chatbot onto their process and call it AI-first. Real AI-first inverts the question: where do humans actually need to intervene?
Read the guideProduct · · 7 min
From Idea to Production in 6 Weeks: The AI-Powered MVP Playbook
42 days from zero code to production. A week-by-week playbook of what AI accelerated, and the three moments that nearly derailed it.
Read the guideEngineering Culture · · 5 min
The Engineer's Guide to Working with AI Augmentation
AI doesn't replace senior engineers, it re-prices their judgment. A practical guide to what you delegate, what you own, and how the day changes.
Read the guideAI Engineering · · 9 min
Legacy Modernization with AI: Lessons from 500K Lines of Java
A half-million-line HIPAA-regulated Java monolith to TypeScript microservices with zero downtime. A deep retrospective on where AI helped and where it couldn't.
Read the guideStartup · · 4 min
Why Speed Is the Only Moat That Matters for Startups
Capital is commoditized, talent is distributed, AI equalizes tooling. What's left is how fast you learn, build and ship.
Read the guideEngineering Culture · · 6 min
Building an AI-Native Engineering Culture from Day One
Tools don't transform teams, culture does. How we hire for judgment, onboard in one week, and measure outcomes instead of activity.
Read the guide
Engineering teams
- Engineering staff augmentation vs. outsourcing
- Embedded engineers: how they actually integrate
- Embedded teams for a product area
- Scaling an engineering team without a hiring freeze
Coming next
AI-native engineering
- Where AI helps engineers, and where it doesn't
- AI in code review and testing
- Documentation as a by-product of the work
Coming next
Platforms
- Streaming platform engineering
- Event-driven systems on AWS
- SaaS engineering for multi-user products
Coming next
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