- Jakarta
- rslhdyt.dev
- @rslhdyt
Learning
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
C4-PlantUML combines the benefits of PlantUML and the C4 model for providing a simple way of describing and communicate software architectures
Papers from the computer science community to read and discuss.
📕 Data Structures and Algorithms library in TypeScript and JavaScript
Presentations that programmers should watch
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
A checklist of Kubernetes best practices to help you release to production
SDK for interacting with stability.ai APIs (e.g. stable diffusion inference)
This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
This repository started out as a learning in public project for myself and has now become a structured learning map for many in the community. We have 3 years under our belt covering all things Dev…
⛄ Possibly the smallest compiler ever
Chatbot for documentation, that allows you to chat with your data. Privately deployable, provides AI knowledge sharing and integrates knowledge into your AI workflow
A list of engineering manager resource links.
Collection of leetcode company tag problems. Periodically updating.
Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
🤯 Lobe Chat - an open-source, modern-design AI chat framework. Supports Multi AI Providers( OpenAI / Claude 3 / Gemini / Ollama / DeepSeek / Qwen), Knowledge Base (file upload / knowledge managemen…
Chaos Monkey is a resiliency tool that helps applications tolerate random instance failures.
Learn System Design concepts and prepare for interviews using free resources.
For when people get too hyped up about things
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.