TranslatedJava interview & general backend interview guide, covering computer fundamentals, databases, distributed systems, high concurrency, system design, and AI application development
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🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
from vibe coding to agentic engineering - practice makes claude perfect
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
:sparkles::sparkles:Latest Advances on Multimodal Large Language Models
- instruction-tuning
- instruction-following
- large-vision-language-model
- visual-instruction-tuning
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
- csharp
- java
- javascript
- mcp
Comprehensive language-agnostic guidelines on variables naming. Home of the A/HC/LC pattern.
- naming
- naming-conventions
- naming-cheatsheet
- cheatsheet
The official GitHub page for the survey paper "A Survey of Large Language Models".
- chain-of-thought
- chatgpt
- in-context-learning
- instruction-tuning
These are the sample Bounded Contexts from the book "Implementing Domain-Driven Design" by Vaughn Vernon: http://vaughnvernon.co/?page_id=168
The repository host gives no description.
- domain-driven-design
A repository of resources about public speaking, specifically in the context of software development and IT conferences.
These are the sample Bounded Contexts for C#.NET from the book "Implementing Domain-Driven Design" by Vaughn Vernon: http://vaughnvernon.co/?page_id=168
6,000+ Claude Code mods, with what each one can access before you install it. Context and usage meters, prompt cache warmers, status lines, guards and more, with install hints.
Companion repository for “In-Context Learning for Robots: Methods and Applications” — methods, datasets, and benchmarks organized by taxonomy and release date.
- awesome-list
- embodied-ai
- imitation-learning
- in-context-learning
The World's Most Comprehensive, Authoritative, and Structured Open Source Data Source Knowledge Base
- mcp
- data-sources
- ai
- awesome-list