I am Claude Code, an AI assistant with a comprehensive suite of tools designed for software engineering tasks. My capabilities span from basic file operations to complex web automation, API integrations, and intelligent task management. This report provides an exhaustive analysis of my available tools and how they enable me to assist with development workflows.
#!/usr/bin/env -S uv run --script | |
# /// script | |
# requires-python = ">=3.12" | |
# dependencies = [ | |
# "click", | |
# ] | |
# /// | |
# NOTE: This script creates a new virtual instance in ZITADEL. | |
# NOTE: Virtual instances are separated at the network level; there is no central UI to view them. |
#!/usr/bin/env bash | |
# Specify the directory where you want to perform the renaming | |
directory="." | |
# Move to the specified directory | |
cd "$directory" || exit | |
# Loop through all files in the directory | |
for file in *; do |
for num in range(1, 101): | |
if num % 3 == 0 and num % 5 == 0: | |
print("CracklePop") | |
elif num % 3 == 0: | |
print("Crackle") | |
elif num % 5 == 0: | |
print("Pop") | |
else: | |
print(num) |
This is comparison between whisper.cpp and faster-whisper. The faster-whisper readme has some benchmarks on the readme but wanted to test it myself. For whisper, I just ran manually. For faster-whisper, wrote this small script
- https://github.com/guillaumekln/faster-whisper/
- https://github.com/ggerganov/whisper.cpp
- quanitization w faster-whisper: https://opennmt.net/CTranslate2/quantization.html
- quantization w whisper.cpp: https://github.com/ggerganov/whisper.cpp#quantization
- ./main -bs 5 -p 2 -f steve2.wav -m models/ggml-small.en.bin
- Total 8 CPU threads on my 12 core machine
- -bs 2 : actually performs better about 10s faster.
let | |
pkgs = import <nixpkgs> {}; | |
pyPackages = pkgs.python310Packages; | |
fhs = pkgs.buildFHSUserEnv { | |
name = "normalfsshell"; | |
runScript = "bash"; | |
}; | |
in | |
pkgs.mkShell { | |
name = "py"; |
Not necessarily meant to be followed step by step, although it is recommended. Some steps are valid during all levels, others give way to better alternatives further on.
- QUERY: prometheus_http_requests_total | |
- REQ: http://localhost:9090/api/v1/query?query=prometheus_http_requests_total&time=1590782145.245 |
(A book that I might eventually write!)
Gary Bernhardt
I imagine each of these chapters being about 2,000 words, making the whole book about the size of a small novel. For comparison, articles in large papers like the New York Times average about 1,200 words. Each topic gets whatever level of detail I can fit into that space. For simple topics, that's a lot of space: I can probably walk through a very basic, but working, implementation of the IP protocol.