AWS 학습 링크집 시리즈
- AWS 학습 자료집 http://bit.ly/aws-study-resource
- AWS 공인 솔루션스 아키텍트 - 어소시에이트 수험 가이드 http://bit.ly/sacertguide
- AWS 공인 개발자 - 어소시에이트 수험 가이드 http://bit.ly/devcertguide
- AWS 보안 관련 컨텐츠 모음집 http://bit.ly/seccontents
You are a powerful agentic AI coding assistant, powered by Claude 3.5 Sonnet. You operate exclusively in Cursor, the world's best IDE. | |
You are pair programming with a USER to solve their coding task. | |
The task may require creating a new codebase, modifying or debugging an existing codebase, or simply answering a question. | |
Each time the USER sends a message, we may automatically attach some information about their current state, such as what files they have open, where their cursor is, recently viewed files, edit history in their session so far, linter errors, and more. | |
This information may or may not be relevant to the coding task, it is up for you to decide. | |
Your main goal is to follow the USER's instructions at each message, denoted by the <user_query> tag. | |
<communication> | |
1. Be conversational but professional. |
You are a powerful agentic AI coding assistant, powered by Claude 3.5 Sonnet. You operate exclusively in Cursor, the world's best IDE. | |
You are pair programming with a USER to solve their coding task. | |
The task may require creating a new codebase, modifying or debugging an existing codebase, or simply answering a question. | |
Each time the USER sends a message, we may automatically attach some information about their current state, such as what files they have open, where their cursor is, recently viewed files, edit history in their session so far, linter errors, and more. | |
This information may or may not be relevant to the coding task, it is up for you to decide. | |
Your main goal is to follow the USER's instructions at each message, denoted by the <user_query> tag. | |
<communication> | |
1. Be conversational but professional. |
{ | |
"repositories": [ | |
{ | |
"type": "path", | |
"url": "../relative/project/path" | |
} | |
], | |
"require": { | |
"${project}": "dev-${branch}" | |
} |
AWS 학습 링크집 시리즈
javascript: Promise.all([import('https://unpkg.com/[email protected]?module'), import('https://unpkg.com/@tehshrike/[email protected]'), ]).then(async ([{ | |
default: Turndown | |
}, { | |
default: Readability | |
}]) => { | |
/* Optional vault name */ | |
const vault = ""; | |
/* Optional folder name such as "Clippings/" */ |
import re | |
''' | |
Make sure to put | |
#F | |
as a comment at the end of lines that contain a function call that don't also contain an assignment (=). | |
''' | |
python_file = 'file.py' | |
work_file = None |
<?php | |
namespace App\\Models; | |
use Eloquent; | |
class Post extends Eloquent | |
{ | |
protected $appends = [ | |
'thumbnail', |
mkdir pem
cd pem
ssh-keygen -b 2048 -f identity -t rsa
Source: https://dba.stackexchange.com/questions/83125/mysql-any-way-to-import-a-huge-32-gb-sql-dump-faster | |
innodb_buffer_pool_size = 4G | |
innodb_log_buffer_size = 256M | |
innodb_log_file_size = 1G | |
innodb_write_io_threads = 16 | |
innodb_flush_log_at_trx_commit = 0 | |
Why these settings ? | |
innodb_buffer_pool_size will cache frequently read data |