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@CypherpunkSamurai
CypherpunkSamurai / spec.md
Last active November 13, 2025 09:23
Kiro AI System Prompt

System Prompt

Identity

You are Kiro, an AI assistant and IDE built to assist developers.

When users ask about Kiro, respond with information about yourself in first person.

You are managed by an autonomous process which takes your output, performs the actions you requested, and is supervised by a human user.

You talk like a human, not like a bot. You reflect the user's input style in your responses.

@laixintao
laixintao / decent_request.py
Last active January 18, 2025 08:12
Send HTTP requests using python-requests with timeout, tcp reuse(session) and retry.
from requests.adapters import HTTPAdapter, Retry
from requests import Session
retries = Retry(
total=5, backoff_factor=1, status_forcelist=[502, 503, 504]
)
session = Session() # reuse tcp connection
session.mount("http://", HTTPAdapter(max_retries=retries))
session.mount("https://", HTTPAdapter(max_retries=retries))

下面都是说的无状态服务,有状态的类似,除了 1 2 再多一句话就能描述

最开始的状态:不云,但原生

没有好用的隔离方案,通常会在一个机器上部署一个东西:

  1. 我们知道机器的资源(这个进程最多能用多少 CPU 内存)
    • 以便让服务运行在资源足够的地方
  2. 我们知道哪些机器运行着这个服务(服务发现),服务可能直接监听 80 这样的端口
  • 以便做负载均衡
@XueshiQiao
XueshiQiao / ExportNetEaseMusicSongList.js
Last active October 25, 2024 19:29
导出网易云音乐歌单到 AppleMusic / Spotify 等平台
/**
* 使用方法:
* 1. 用 Chrome 打开歌单的 web 页面(可以通过分享拿到链接,链接类似这样:http://music.163.com/playlist?id=xxx&userid=yyy)
* 2. 然后右键“检查”(如果有左上角有 device 选项,需要选择 Laptop 开头的,可以在 Edit/编辑 里添加,添加的时候注意 “User Agent string” 里选择 Desktop)
* 3. 在 console 里输入下面脚本,即可输出 “歌曲名 - 歌手名” 格式的内容:
Springsteen - Eric Church
Chattahoochee - Alan Jackson
Baby Now That I Found You - Alison Krauss
Check Yes or No - George Strait

Deploy k3s cluster on Vultr with RancherOS over ZeroTier network

How to deploy K3S cluster on RancherOS nodes connected via a Zerotier network.

Deploy master node

1. Update the master-deploy.sh with deployment vars

@bessarabov
bessarabov / gist:674ea13c77fc8128f24b5e3f53b7f094
Last active September 2, 2025 01:50
One-liner to generate data shown in post 'At what time of day does famous programmers work?' — https://ivan.bessarabov.com/blog/famous-programmers-work-time
git log --author="Linus Torvalds" --date=iso | perl -nalE 'if (/^Date:\s+[\d-]{10}\s(\d{2})/) { say $1+0 }' | sort | uniq -c|perl -MList::Util=max -nalE '$h{$F[1]} = $F[0]; }{ $m = max values %h; foreach (0..23) { $h{$_} = 0 if not exists $h{$_} } foreach (sort {$a <=> $b } keys %h) { say sprintf "%02d - %4d %s", $_, $h{$_}, "*"x ($h{$_} / $m * 50); }'
@lesonky
lesonky / alias.md
Last active May 16, 2021 08:38
Mac 配置
alias reload="source ~/.zshrc"
alias zshrc="code ~/.zshrc"
alias aliasrc="code ~/.setting/.alias"
alias del="rm -rf"
alias cls="clear"
alias useproxy="export https_proxy=http://127.0.0.1:7890 http_proxy=http://127.0.0.1:7890 all_proxy=socks5://127.0.0.1:7890"
alias unuseproxy="unset https_proxy http_proxy all_proxy"
alias gitproxy="git config --global https.proxy https://127.0.0.1:7890"
alias ungitproxy="git config --global --unset https.proxy"
@ivanvermeyen
ivanvermeyen / HOWTO.md
Last active June 8, 2025 14:55
Multiple MySQL versions on MacOS with Homebrew

Update - 4 september 2020

Making multiple MySQL versions work with Homebrew was tricky to say the least. Fortunately there are 2 new easy ways that I learned of to achieve this.

DBngin app

As @4unkur and @henrytirla commented below, there is this extremely easy to use app called DBngin, which lets you setup multiple databases (not only MySQL) simultaneously using different ports:

https://dbngin.com/

@seanbehan
seanbehan / app.py
Last active March 13, 2023 04:55
Flask with Django ORM
'''
Run the following commands (bc. gists don't allow directories)
pip install flask django dj-database-url psycopg2
mkdir -p app/migrations
touch app/__init__.py app/migrations/__init__.py
mv models.py app/
python manage.py makemigrations
python manage.py migrate
@jsheedy
jsheedy / README.md
Created December 2, 2016 20:47
asyncio + uvloop echo server benchmark

asyncio + uvloop echo server benchmark

This is an attempt at a bare minimum client/server benchmark of asyncio with optional use of uvloop. On my 2015 macbook pro, I get almost 2.5X improvement using uvloop in the server.

The client runs PARALLEL tasks at once. Running only a single task results in about 1/8 the throughput of 100 simultaneous tasks.

# with uvloop
$ python client.py
satisfied 100000 requests in 1.41021 seconds (70911.42 reqs/s)