explaingit

archiewood/claudeisms

Analysis updated 2026-05-18

5PythonAudience · developerComplexity · 1/5Setup · easy

TLDR

A tongue in cheek data analysis of the words Claude Code overuses most, compared against Stack Overflow writing.

Mindmap

mindmap
  root((claudeisms))
    What it does
      Counts Claude word usage
      Compares to Stack Overflow
      Lists overused words
    Tech stack
      Python
      CSV data
      BigQuery dataset
    Use cases
      Browse the word list
      Repeat the method on own chats
      Laugh at AI writing habits
    Audience
      Claude Code users
      Developers curious about AI
      Writers studying AI style

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

What do people build with it?

USE CASE 1

Browse the CSV list to see which words an AI coding assistant overuses.

USE CASE 2

Reuse the comparison method to analyze your own Claude Code chat transcripts.

USE CASE 3

Reference the list to spot AI generated writing in code reviews or docs.

What is it built with?

PythonCSVBigQuery

How does it compare?

archiewood/claudeisms1ncendium/aibusteraaronmayeux/ha-hurricane-tracker
Stars555
LanguagePythonPythonPython
Setup difficultyeasymoderateeasy
Complexity1/53/52/5
Audiencedeveloperops devopsgeneral

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min
No license is stated in the README.

In plain English

This project is a lighthearted, data driven look at the words Claude Code, an AI coding assistant, uses too often. The author spent several months chatting with Claude Code and had local transcripts saved automatically, so they analyzed those chat logs to see which words showed up far more often than normal. First they compared their own messages to Claude's, but that did not work well since much of what they typed was pasted log data full of technical IDs like request IDs and session IDs. Next they compared Claude's word choices to a general internet dataset, but that got skewed by ordinary programming terms like eslint or yaml. Finally they found a better comparison: a public dataset of 1.72 billion words from Stack Overflow comments written by real people between 2008 and 2020. By ranking words based on how much more often Claude used them compared to Stack Overflow commenters, the author built a list of what they call claudeisms. The results are funny: words like load-bearing showed up thousands of times more often in Claude's messages than in ordinary programmer writing. Other frequently overused words include gating, dedup, decisive, verdict, scaffolds, and handoff. The full list of 144 words, each used at least 20 times more often than typical Stack Overflow writing, is saved in a CSV file included in the project. The author admits the whole analysis was written with help from Claude Code itself, and that the results are shaped by their own personal habits and the tools they use, so it is not a scientific study of how every AI model writes. They also note that load-bearing appears directly in Claude Code's own system instructions, which explains why it shows up so often. This is a small side project built for fun and catharsis rather than a tool meant for others to install or run, though the code and data are shared for anyone curious to explore or extend the analysis themselves.

Copy-paste prompts

Prompt 1
Show me the full claudeisms.csv list and explain the top 10 most overused words.
Prompt 2
Using the same method as this repo, help me analyze my own Claude Code transcripts for overused words.
Prompt 3
Explain how the author compared Claude's word frequency to Stack Overflow comments in this project.
Prompt 4
Summarize why the word load-bearing appears so often according to this analysis.

Frequently asked questions

What is claudeisms?

A tongue in cheek data analysis of the words Claude Code overuses most, compared against Stack Overflow writing.

What language is claudeisms written in?

Mainly Python. The stack also includes Python, CSV, BigQuery.

What license does claudeisms use?

No license is stated in the README.

How hard is claudeisms to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is claudeisms for?

Mainly developer.

Open on GitHub → Explain another repo

This repo across BitVibe Labs

Verify against the repo before relying on details.