---
title: "Measure a carpenter by hammer use and everything gets smacked"
url: https://daily.dev/posts/measure-a-carpenter-by-hammer-use-and-everything-gets-smacked-bqijqkjdr
source_url: https://devinterrupted.substack.com/p/measure-a-carpenter-by-hammer-use
type: article
source: "Dev Interrupted"
published: 2026-07-31T18:46:50.648Z
updated: 2026-08-02T06:18:06.147Z
tags: ["llm", "productivity", "ai-coding"]
reading_time: 9
upvotes: 2
comments: 1
language: en
---

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# Measure a carpenter by hammer use and everything gets smacked

**[Dev Interrupted](https://daily.dev/sources/devinterrupted)** · 9 min read · 2 upvotes · 1 comments

## Summary

A conversation with Quentin Anthony, VP of AI Engineering at Zyphra, from AMD's Advancing AI conference covers how frontier model engineers actually use AI coding tools. Key insights: AI models struggle with out-of-distribution tasks like GPU kernels because they lack training data; effective AI use requires deep domain expertise to steer and verify outputs; 'tokenmaxxing' (treating token spend as a proxy for AI progress) is a Goodhart's Law problem. Anthony advocates for verifiable task assignment and active human oversight rather than passive lever-pulling. Supporting data from LinearB shows agentic PRs reach production at 37–79% depending on team quality, with the gap driven by ownership and accountability rather than technical factors.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://devinterrupted.substack.com/p/measure-a-carpenter-by-hammer-use>

## Community discussion

Top comments from developers on daily.dev.

**@agustinbarrientos** · 0 upvotes

> I'd never use token counts as a productivity metric.

---

Tags: [#llm](https://daily.dev/tags/llm), [#productivity](https://daily.dev/tags/productivity), [#ai-coding](https://daily.dev/tags/ai-coding)

[View this post on daily.dev](https://daily.dev/posts/measure-a-carpenter-by-hammer-use-and-everything-gets-smacked-bqijqkjdr)
