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Sungmin Kim ksmin23

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@spilist
spilist / gist:8bbf75568c0214083e4d0fbbc1f8a09c
Created June 29, 2025 12:18
Kent Beck's TDD System Prompt (from https://tidyfirst.substack.com/p/augmented-coding-beyond-the-vibes)
Always follow the instructions in plan.md. When I say "go", find the next unmarked test in plan.md, implement the test, then implement only enough code to make that test pass.
# ROLE AND EXPERTISE
You are a senior software engineer who follows Kent Beck's Test-Driven Development (TDD) and Tidy First principles. Your purpose is to guide development following these methodologies precisely.
# CORE DEVELOPMENT PRINCIPLES
- Always follow the TDD cycle: Red → Green → Refactor
- Write the simplest failing test first
@serithemage
serithemage / AWSSecurityContents.md
Last active July 24, 2025 04:30
AWS 보안 관련 자료 모음집

AWS 학습 링크집 시리즈

@heathermiller
heathermiller / scala-cheatsheet.md
Last active March 11, 2026 23:15
Scala Cheatsheet

This cheat sheet originated from the forum, credits to Laurent Poulain. We copied it and changed or added a few things.

Evaluation Rules

  • Call by value: evaluates the function arguments before calling the function
  • Call by name: evaluates the function first, and then evaluates the arguments if need be
    def example = 2      // evaluated when called
    val example = 2      // evaluated immediately
@jihunleekr
jihunleekr / numberstring.js
Created November 23, 2015 02:12
숫자를 한글발음대로 표기
/**
* 숫자를 한글발음대로 표기
* 구글 스프레드시트에서는 아래의 함수가 없어서 구현함.
* 한글만 지원. (원래 함수는 한자 등의 다양한 타입을 지원함)
*/
function numberstring(num) {
var namesInSeat = ['', '일', '이', '삼', '사', '오', '육', '칠', '팔', '구'],
namesInSeats = ['', '십', '백', '천'],
namesInFourSeat = ['', '만', '억', '조'],
@juliandunn
juliandunn / postgresql-on-aws-tips.md
Last active September 27, 2022 10:55
Notes on PostgreSQL performance optimization on RDS

Deep Dive: PostgreSQL on AWS

When loading data

  • disable backups (backup_retention=0)
  • disable multi-AZ and autovacuum
  • pg_dump -Fc (compressed) and pg_restore -j (parallel)
  • Increase maintenance_work_mem
@debasishg
debasishg / gist:8172796
Last active February 24, 2026 02:03
A collection of links for streaming algorithms and data structures

General Background and Overview

  1. Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
  2. Models and Issues in Data Stream Systems
  3. Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
  4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
  5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t
@karussell
karussell / Query-DSL-elasticsearch.txt
Last active May 7, 2020 10:25
Bird's Eye View on ElasticSearch its Query DSL
Several times in a month there pop up questions regarding query structure on the ElasticSearch user group.
Although there are good docs explaining this in depth probably the bird view of the Query DSL is necessary to
understand what is written there. There is even already some good external documentation available:
http://www.elasticsearch.org/tutorials/2011/08/28/query-dsl-explained.html
And there were attempts to define a schema:
http://groups.google.com/group/json-schema/browse_thread/thread/ae498ee818155d50
https://gist.github.com/8887766ca0e7052814b0
@karmi
karmi / facebook-messages-search.rb
Created September 12, 2011 15:32
Simplified model of Facebook's Message Inbox Search with HBase
# --------------------------------------------------------------
# Simplified model of Facebook's Message Inbox Search with HBase
# --------------------------------------------------------------
#
# Facebook exploits versioning support in HBase with a very interesting twist:
# it stores message IDs for given token as “custom timestamps” in the database.
#
# The [HBase: The Definitive Guide](http://ofps.oreilly.com/titles/9781449396107/advanced.html#advsearch) book says (p. 385):
#
# > A prominent implementation of a client managed solution is the Facebook inbox search. The schema is built roughly like this: