"AI-Native" Articles (5)

The Interview Skills That Make an FDE Work | How to Draw Real Insight Out of the Shop Floor

Whether a Forward Deployed Engineer succeeds is decided less by how fast they write code than by how they listen. Our engineers take interview training before they go on site, but the "form" you learn in training and the "eye for mismatch" you only develop in the field turned out to be different things. This article lays out the three kinds of FDE interviews, question design built on the critical incident technique and Toyota's five whys, silence and mirroring, working in pairs, and where AI transcription fits, in a form engineers can use as is.

2026-09-15Ryuta Hamamoto

WARP

An FDE's Week | From Code on Day One to Returning the Learning to the Product on Friday

When we say we can implement faster than anyone, the basis is not fast hands but the fact that the loop of asking, building, reading the reaction, and returning the learning to the product fits inside one week. The seventh article in our FDE practice series lays out that week concretely: Monday's diagnostic and first version, Tuesday to Thursday's observation and daily versions, Friday's KJ session, dictionary update, and pattern-or-branch decision, placing the six skills from the earlier articles into it. It also covers how the weeks stack inside a 45-to-90-day time box until the person on site edits the dictionary and we are no longer needed, how this differs from contract-development phases, and, honestly, what does not reach production in a week.

2026-09-15Ryuta Hamamoto

WARP

The Abstraction and Concretization Skills You Need to Work AI-Natively

Coding agents make individual work faster, yet organizations do not get faster. In METR's experiment, developers believed they were 20 percent faster while measured time was 19 percent slower, and a 2026 survey found self-reported "speed" gains of 3x against "value" gains of only 1.4 to 2x. Two causes: people speed up work that is not the bottleneck, and the more context an AI holds, the more it drifts toward answers that fit that context and away from the abstract answer. This article explains how to split the abstraction-concretization loop between humans and AI, and how to train the skill of noticing what is not working and putting that unease into words, with primary sources throughout.

2026-09-12濱本隆太

WARP

How to Build a Business in the AI Era | When "Building It" Got Cheap, What Became Valuable?

In an era when you can build a prototype in a weekend for almost nothing with Vibe Coding, where did the value of a business go?

2026-07-19Ryuta Hamamoto

AI Consulting

The Complete Guide to Going AI-Native in Legacy Industries [2026] | Practical AI Transformation for Hotels, Restaurants, Cleaning, Manufacturing, and Construction

A comprehensive 2026 guide to AI-native transformation in legacy industries — hotels, restaurants, cleaning, manufacturing, and construction.

2026-01-30Ryuta Hamamoto