engineering

Posts and projects tagged "engineering".

Posts

The Week Before the Code

Everyone talks about how fast agentic coding is. Nobody talks about the week of thinking that makes it possible. A practitioner's case for treating the PRD as the highest-leverage hour you'll spend on any project.

How I Code: Summer 2026 Edition

Six hours of driving, ten merged PRs, zero humans in the loop. A snapshot of how I actually build software in mid-2026: a monorepo from day one, letter-graded PRDs, hourly agent loops across three dusty Macs, a Design Review gate that keeps ten agents from shipping a ten-personality UI, Neon branches as the safety net, and why I split planning, building, and review across different AI providers.

The 24-Hour Sprint

TL;DR: Agentic coding is compressing the dev cycle into 24 hours. Here's how it looks from the inside.

How I Evaluate an AI Tool Before I Trust It in Production

Most AI tool evaluations stop at "does it work in the demo." Here's the framework I actually use before trusting something in a production system.

The Southeast Doesn't Need Permission to Build

The assumption that serious tech work only happens in San Francisco, New York, or Seattle is wrong — and increasingly expensive to believe. A practitioner's case for building in the Southeast by choice.

Your AI Agent Didn't Go Rogue. You Gave It the Keys.

Why the Cursor/Railway incident wasn't a vendor failure - it was an architecture gap. How to prevent AI agents from accessing permissions they shouldn't have, and why ownership matters.

What I'd Tell a Team About to Ship Their First AI Feature

The gap between a working AI demo and a production AI feature is wider than most teams expect. Here's the honest version of what to know before you cross it.

The Seven-Layer AI Agent Stack

Every production agentic system has seven layers. Miss one and you'll find out in prod. Here's what each layer does, why it matters, and where teams consistently get it wrong.

Most Agents Are Just Prompt Chains With Better Branding

A practical, opinionated breakdown of agentic AI development for builders who are done with demos and want to know what actually works in production — covering orchestration, failure modes, guardrails, and the patterns worth betting on.