docs: add some new links

docs/ai/ai.md

@@ -22,17 +22,15 @@
 - [How to Install AutoGPT in Minutes](https://geekflare.com/how-to-install-autogpt/)
 - [What Are Transformer Models and How Do They Work?](https://txt.cohere.com/what-are-transformer-models/?twclid=2-6qtbhc5iselai1y94f8am1xxm&fbclid=IwAR1gBV0PNiPHU--HAKWLXMqwbnkiaQQ4oRFbRQ2vNqLy83UlrfbJ0_PbMz4)
 - [Running Large Language Models locally – Your own ChatGPT-like AI in C#](https://blog.maartenballiauw.be/post/2023/06/15/running-large-language-models-locally-your-own-chatgpt-like-ai-in-csharp.html)
-- [What is Semantic Kernel?](https://learn.microsoft.com/en-us/semantic-kernel/overview/)
 - [Introducing GPTs](https://openai.com/blog/introducing-gpts)
-- [Using Phi-3 & C# with ONNX for text and vision samples](https://devblogs.microsoft.com/dotnet/using-phi3-csharp-with-onnx-for-text-and-vision-samples-md/)
-- [Getting started with Semantic Kernel](https://learn.microsoft.com/en-us/semantic-kernel/get-started/quick-start-guide?pivots=programming-language-csharp)
 
 ## 📺 Videos
 - [ChatGPT Might Make Developers Unemployed In A Few Years](https://www.youtube.com/watch?v=C6tRcvY5xZg)
 - [Auto-GPT Tutorial - Create Your Personal AI Assistant](https://www.youtube.com/watch?v=jn8n212l3PQ)
 - [Create a Large Language Model from Scratch with Python – Tutorial](https://www.youtube.com/watch?v=UU1WVnMk4E8)
 - [Intro to Large Language Models](https://www.youtube.com/watch?v=zjkBMFhNj_g) ⭐
 - [.NET AI Community Standup - Phi-3 & C#](https://www.youtube.com/watch?v=fbojvzHGtkM)
+- [Getting Started With Hugging Face in 15 Minutes | Transformers, Pipeline, Tokenizer, Models](https://www.youtube.com/watch?v=QEaBAZQCtwE)
 
 ## Courses
 - [ChatGPT Prompt Engineering for Developers](https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/)
@@ -84,15 +82,25 @@
 - [microsoft/JARVIS](https://github.com/microsoft/JARVIS) - JARVIS, a system to connect LLMs with ML community. Paper:
 - [Kwai-Kolors/Kolors](https://github.com/Kwai-Kolors/Kolors) - Kolors: Effective Training of Diffusion Model for Photorealistic Text-to-Image Synthesis
 - [microsoft/kernel-memory](https://github.com/microsoft/kernel-memory) - RAG architecture: index and query any data using LLM and natural language, track sources, show citations, asynchronous memory patterns
-- [TabbyML/tabby](https://github.com/TabbyML/tabby) - Self-hosted AI coding assistant
-- [gpt-engineer-org/gpt-engineer](https://github.com/gpt-engineer-org/gpt-engineer) - Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from
-- [Pythagora-io/gpt-pilot](https://github.com/Pythagora-io/gpt-pilot) - The first real AI developer
-- [microsoft/chat-copilot](https://github.com/microsoft/chat-copilot)
+- [unslothai/unsloth](https://github.com/unslothai/unsloth) - Finetune Llama 3.1, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory
+- [meta-llama/codellama](https://github.com/meta-llama/codellama) - Inference code for CodeLlama models
+DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence
+- [deepseek-ai/DeepSeek-Coder-V2](https://github.com/deepseek-ai/DeepSeek-Coder-V2) - DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence
+
+## Tools
+- [zed-industries/zed](https://github.com/zed-industries/zed) - Code at the speed of thought – Zed is a high-performance, multiplayer code editor from the creators of Atom and Tree-sitter.
+- [saoudrizwan/claude-dev](https://github.com/saoudrizwan/claude-dev) - Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, and more with your permission every step of the way.
+- [meltylabs/melty](https://github.com/meltylabs/melty) - Chat first code editor. To download the packaged app:
+- [trypear/pearai-app](https://github.com/trypear/pearai-app) - The Open Source AI-Powered Code Editor. A fork of VSCode and Continue.
 - [paul-gauthier/aider](https://github.com/paul-gauthier/aider) - aider is AI pair programming in your terminal
 - [continuedev/continue](https://github.com/continuedev/continue) - Continue is the leading open-source AI code assistant. You can connect any models and any context to build custom autocomplete and chat experiences inside VS Code and JetBrains
 - [AbanteAI/mentat](https://github.com/AbanteAI/mentat) - Mentat - The AI Coding Assistant
 - [stitionai/devika](https://github.com/stitionai/devika) - Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective.
-- [unslothai/unsloth](https://github.com/unslothai/unsloth) - Finetune Llama 3.1, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory
+- [TabbyML/tabby](https://github.com/TabbyML/tabby) - Self-hosted AI coding assistant
+- [gpt-engineer-org/gpt-engineer](https://github.com/gpt-engineer-org/gpt-engineer) - Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from
+- [Pythagora-io/gpt-pilot](https://github.com/Pythagora-io/gpt-pilot) - The first real AI developer
+- [microsoft/chat-copilot](https://github.com/microsoft/chat-copilot)
+- [All-Hands-AI/OpenHands](https://github.com/All-Hands-AI/OpenHands) - OpenHands: Code Less, Make More
 
 ## Samples
 - [Azure-Samples/openai-dotnet-samples](https://github.com/Azure-Samples/openai-dotnet-samples)
@@ -101,4 +109,4 @@
 ## Books
 - [Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG](https://www.amazon.com/Building-LLMs-Production-Reliability-Fine-Tuning/dp/B0D4FFPFW8)
 - [Super Study Guide: Transformers & Large Language Models](https://www.amazon.com/dp/B0DC4NYLTN/)
-- [microsoft/Phi-3CookBook](https://github.com/microsoft/Phi-3CookBook) - This is a Phi-3 book for getting started with Phi-3. 
+- [Hands-On Large Language Models](https://www.oreilly.com/library/view/hands-on-large-language/9781098150952/)

docs/ai/embedding-vector.md

@@ -1,5 +1,12 @@
 # Embedding & Vector
 
+## Articles
+- [Embedding models](https://ollama.com/blog/embedding-models)
+
 ## Videos
 - [Vector Database Explained | What is Vector Database?](https://www.youtube.com/watch?v=72XgD322wZ8)
 - [OpenAI Embeddings and Vector Databases Crash Course](https://www.youtube.com/watch?v=ySus5ZS0b94)
+
+## Libraries
+- [neuml/txtai](https://github.com/neuml/txtai) -  All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
+- [chroma-core/chroma](https://github.com/chroma-core/chroma) - the AI-native open-source embedding database

docs/ai/langchain.md

@@ -8,4 +8,6 @@
 - [LangChain Explained In 15 Minutes - A MUST Learn For Python Programmers](https://www.youtube.com/watch?v=mrjq3lFz23s)
 - [The LangChain Cookbook - Beginner Guide To 7 Essential Concepts](https://www.youtube.com/watch?v=2xxziIWmaSA)
 - [RAG + Langchain Python Project: Easy AI/Chat For Your Docs](https://www.youtube.com/watch?v=tcqEUSNCn8I)
-- [Building Production-Ready RAG Applications: Jerry Liu](https://www.youtube.com/watch?v=TRjq7t2Ms5I)
+- [Building Production-Ready RAG Applications: Jerry Liu](https://www.youtube.com/watch?v=TRjq7t2Ms5I)
+- [LangChain Master Class For Beginners 2024 [+20 Examples, LangChain V0.2]](https://www.youtube.com/watch?v=yF9kGESAi3M)
+- [Python AI Agent Tutorial - Build a Coding Assistant w/ RAG & LangChain](https://www.youtube.com/watch?v=uN7X819DUlQ)

docs/ai/models/hugging-face.md

@@ -0,0 +1,5 @@
+# Hugging Face
+
+## Videos
+- [Getting Started With Hugging Face in 15 Minutes | Transformers, Pipeline, Tokenizer, Models](https://www.youtube.com/watch?v=QEaBAZQCtwE)
+- [What is Hugging Face - Crash Course (No Coding) | ML Products for Beginners](https://www.youtube.com/watch?v=x8gdOPO35HA)

docs/ai/models/models.md

@@ -0,0 +1,4 @@
+# Models
+
+## Libraries
+- [deepseek-ai/DeepSeek-Coder-V2](https://github.com/deepseek-ai/DeepSeek-Coder-V2) - DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

docs/ai/models/ollama.md

@@ -1,15 +1,24 @@
 # Ollama
 
+## Resources
+- [Ollama Documentation](https://github.com/ollama/ollama/tree/main/docs)
+
 ## Articles
-- [Importing a model in Ollama](https://github.com/ollama/ollama/blob/main/docs/import.md)
 - [OpenAI compatibility](https://ollama.com/blog/openai-compatibility)
 - [Ollama OpenAI compatibility](https://github.com/ollama/ollama/blob/main/docs/openai.md)
 - [Importing a model in Ollama](https://github.com/ollama/ollama/blob/main/docs/import.md)
+- [Tool support](https://ollama.com/blog/tool-support)
+- [Embedding models](https://ollama.com/blog/embedding-models)
+- [An entirely open-source AI code assistant inside your editor](https://ollama.com/blog/continue-code-assistant)
 
 ## Videos
 - [Importing Open Source Models to Ollama](https://www.youtube.com/watch?v=fnvZJU5Fj3Q)
 - [Adding Custom Models to Ollama](https://www.youtube.com/watch?v=0ou51l-MLCo)
 - [Ollama adds OpenAI API support](https://www.youtube.com/watch?v=Zgb2TjZ5zTk)
 - [Finally Ollama has an OpenAI compatible API](https://www.youtube.com/watch?v=38jlvmBdBrU)
 - [LLAMA-3.1 🦙: EASIET WAY To FINE-TUNE ON YOUR DATA](https://www.youtube.com/watch?v=rpAtVIZB72U)
-- [Gen AI Project Using Llama3.1 | End to End Gen AI Project](https://www.youtube.com/watch?v=CO4E_9V6li0)
+- [Gen AI Project Using Llama3.1 | End to End Gen AI Project](https://www.youtube.com/watch?v=CO4E_9V6li0)
+
+## Library
+- [ollama/ollama](https://github.com/ollama/ollama) - Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.
+- [meta-llama/codellama](https://github.com/meta-llama/codellama) - Inference code for CodeLlama models

docs/ai/models/openai.md

@@ -0,0 +1,7 @@
+# OpenAI
+
+## Articles
+- [Announcing the stable release of the official OpenAI library for .NET](https://devblogs.microsoft.com/dotnet/announcing-the-stable-release-of-the-official-open-ai-library-for-dotnet/)
+
+## Libraries
+- [openai/openai-dotnet](https://github.com/openai/openai-dotnet) - The official .NET library for the OpenAI API

docs/ai/models/phi.md

@@ -0,0 +1,8 @@
+# Phi
+
+## Articles
+- [Run Phi-3 SLM on your machine with C# Semantic Kernel and Ollama](https://laurentkempe.com/2024/05/01/run-phi-3-slm-on-your-machine-with-csharp-semantic-kernel-and-ollama/)
+- [Using Phi-3 & C# with ONNX for text and vision samples](https://devblogs.microsoft.com/dotnet/using-phi3-csharp-with-onnx-for-text-and-vision-samples-md/)
+
+## Books
+- [microsoft/Phi-3CookBook](https://github.com/microsoft/Phi-3CookBook) - This is a Phi-3 book for getting started with Phi-3. 

docs/ai/semantic-kernel.md

@@ -0,0 +1,17 @@
+# Semantic Kernel
+
+## Resources
+- [Semantic Kernel documentation](https://learn.microsoft.com/en-us/semantic-kernel/)
+- [Semantic Kernel C# Notebooks](https://github.com/microsoft/semantic-kernel/tree/main/dotnet/notebooks)
+- [geffzhang/awesome-semantickernel](https://github.com/geffzhang/awesome-semantickernel) - Awesome list of tools and projects with the awesome semantic kernel framework
+
+## Articles
+- [What is Semantic Kernel?](https://learn.microsoft.com/en-us/semantic-kernel/overview/)
+- [Getting started with Semantic Kernel](https://learn.microsoft.com/en-us/semantic-kernel/get-started/quick-start-guide?pivots=programming-language-csharp)
+
+## Libraries
+- [microsoft/semantic-kernel](https://github.com/microsoft/semantic-kernel) - Integrate cutting-edge LLM technology quickly and easily into your apps
+
+## Samples
+- [microsoft/semantic-kernel/dotnet/samples](https://github.com/microsoft/semantic-kernel/tree/main/dotnet/samples)
+

docs/messaging/messaging.md

@@ -80,6 +80,7 @@
 - [Back to Basics: commands, events, and messages](https://milestone.topics.it/2023/05/25/back-to-basics-messages.html)
 - [Define messages as POCO, interfaces, or records. Does it really matter?](https://milestone.topics.it/2023/10/31/defining-messages.html)
 - [Internal and external events, or how to design event-driven API](https://event-driven.io/en/internal_external_events/)
+- [How Discord Stores Trillions of Messages](https://discord.com/blog/how-discord-stores-trillions-of-messages)
 
 ## 📺 Videos
 

docs/microservices/microservices.md

@@ -268,6 +268,8 @@
 - [ebubekirdinc/SuuCat](https://github.com/ebubekirdinc/SuuCat) - SuuCat is a sample containerized application consisting of several microservices. Its purpose is to use microservice patterns in practice
 - [Physer/Microshop.NET](https://github.com/Physer/Microshop.NET) - A .NET e-commerce showcase in a event-driven microservices architecture
 - [dotnet/eShopSupport](https://github.com/dotnet/eShopSupport) - A reference .NET application using AI for a customer support ticketing system
+- [Azure-Samples/eShopOnAzure](https://github.com/Azure-Samples/eShopOnAzure) - A variant of https://github.com/dotnet/eShop that uses Azure 
+- [thangchung/practical-dotnet-aspire](https://github.com/thangchung/practical-dotnet-aspire) - The practical .NET Aspire builds on the coffeeshop app business domain
 
 ## 📚 Books
 - [Microservices Architecture and Step by Step Implementation on .NET](https://aspnetrun.azurewebsites.net/Microservices)

docs/microservices/resiliency/high-availibility.md

@@ -5,6 +5,7 @@
 
 ## 📕 Articles
 - [Improving Application Availability: The Basics](https://medium.com/ssense-tech/improving-application-availability-the-basics-f6c3365235fc)
+- [Improving Application Availability: Redundancy and Persistence](https://medium.com/ssense-tech/improving-application-availability-redundancy-and-persistence-e68d1f891dc4)
 - [Deployment stamps pattern](https://docs.microsoft.com/en-us/azure/architecture/patterns/deployment-stamp)
 - [Geodes Pattern](https://docs.microsoft.com/en-us/azure/architecture/patterns/geodes)
 - [Health Endpoint Monitoring Pattern](https://docs.microsoft.com/en-us/azure/architecture/patterns/health-endpoint-monitoring)
@@ -13,4 +14,4 @@
 - [Throttling Pattern](https://docs.microsoft.com/en-us/azure/architecture/patterns/throttling)
 - [Queue-Based Load Leveling Pattern](https://docs.microsoft.com/en-us/azure/architecture/patterns/queue-based-load-leveling)
 - [Improving Microservices Availability](https://www.ledjonbehluli.com/posts/improving_microservices_availability/)
-- [Improving Monolith's Availability](https://www.ledjonbehluli.com/posts/improving_monoliths_availability/)
+- [Improving Monolith's Availability](https://www.ledjonbehluli.com/posts/improving_monoliths_availability/)

docs/microservices/tools/aspire.md

@@ -43,4 +43,9 @@
 - [laurentkempe/aspirePlayground](https://github.com/laurentkempe/aspirePlayground) - Some experiments around .NET Aspire to learn.
 - [oskardudycz/EventSourcing.NetCore/Sample/ECommerce](https://github.com/oskardudycz/EventSourcing.NetCore/tree/main/Sample/ECommerce)
 - [NikiforovAll/social-media-app-aspire](https://github.com/NikiforovAll/social-media-app-aspire) - Polyglot persistence via Aspire
-- [thangchung/practical-dotnet-aspire](https://github.com/thangchung/practical-dotnet-aspire) - The practical .NET Aspire builds on the coffeeshop app business domain
+- [thangchung/practical-dotnet-aspire](https://github.com/thangchung/practical-dotnet-aspire) - The practical .NET Aspire builds on the coffeeshop app business domain
+- [dotnet/aspire-samples/AspireShop](https://github.com/dotnet/aspire-samples/tree/main/samples/AspireShop)
+- [cecilphillip/shadowshop](https://github.com/cecilphillip/shadowshop) - Sample estore application using Stripe and Temporal. Orchestrated with .NET Aspire.
+- [dotnet/eShop](https://github.com/dotnet/eShop) - A reference .NET application implementing an eCommerce 
+- [dotnet/eShopSupport](https://github.com/dotnet/eShopSupport) - A reference .NET application using AI for a customer support ticketing system
+- [Azure-Samples/eShopOnAzure](https://github.com/Azure-Samples/eShopOnAzure) - A variant of https://github.com/dotnet/eShop that uses Azure services

docs/modular-monolith.md

@@ -41,6 +41,7 @@
 - [Thoughts on “Modular Monoliths”](https://jeremydmiller.com/2024/04/01/thoughts-on-modular-monoliths/)
 - [Actually Talking about Modular Monoliths](https://jeremydmiller.com/2024/04/08/actually-talking-about-modular-monoliths/)
 - [Modular Monoliths and the “Critter Stack”](https://jeremydmiller.com/2024/04/15/modular-monoliths-and-the-critter-stack/)
+- [Breaking It Down: How to Migrate Your Modular Monolith to Microservices](https://www.milanjovanovic.tech/blog/breaking-it-down-how-to-migrate-your-modular-monolith-to-microservices)
 
 ## 📺 Videos
 - [GOTO 2018 • Modular Monoliths • Simon Brown](https://www.youtube.com/watch?v=5OjqD-ow8GE)

docs/scaling.md

@@ -27,6 +27,9 @@
 - [Scaling Backend to 1M requests with just 2GB ram](https://dev.to/rikenshah/scaling-backend-to-1m-requests-with-just-2gb-ram-4m0c)
 - [System Design: How to Scale a Database](https://blog.algomaster.io/p/system-design-how-to-scale-a-database)
 - [Database Scaling](https://www.mongodb.com/resources/basics/scaling)
+- [How Discord Stores Trillions of Messages](https://discord.com/blog/how-discord-stores-trillions-of-messages)
+- [Sharding & IDs at Instagram](https://instagram-engineering.com/sharding-ids-at-instagram-1cf5a71e5a5c)
+- [Thundering Herds & Promises](https://instagram-engineering.com/thundering-herds-promises-82191c8af57d)
 
 ## 📺 Videos
 - [AWS re:Invent 2019: [REPEAT] Scaling up to your first 10 million users ](https://www.youtube.com/watch?v=kKjm4ehYiMs)
@@ -51,6 +54,7 @@
 - [Randy Shoup - Service Architectures at Scale Lessons from Google & eBay](https://www.youtube.com/watch?v=fhm4QnyWvUo)
 - [Cloud Native Objects for High Scale & Performance](https://www.youtube.com/watch?v=iE8cisVgoj8)
 - [Competing Consumers Pattern for Scalability | Message Queues](https://www.youtube.com/watch?v=xv6Ljbq6me8)
+
 ## 📚 Books
 - [Architecting for Scale: How to Maintain High Availability and Manage Risk in the Cloud 2nd Edition](https://www.amazon.com/Architecting-Scale-Maintain-Availability-Manage/dp/1492057177/)
 - [Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems](https://www.amazon.com/Designing-Data-Intensive-Applications-Reliable-Maintainable/dp/1449373321/)

docs/service-discovery/service-discovery.md

@@ -12,7 +12,7 @@
 - [Consul in .NET — A Service Mesh Solution And Service Discovery Tool](https://medium.com/@KeivanDamirchi/consul-in-net-a-service-mesh-solution-and-service-discovery-tool-eff18292c771)
 - [Service Discovery Using Consul And ASP.NET Core](https://dev.to/raidzen10/service-discovery-using-consul-and-asp-net-core-2c4b)
 - [How to build .NET Core microservices – tutorial part 3: Service Discovery with Eureka](https://www.altkomsoftware.com/blog/microservices-service-discovery-eureka/)
-
+- [Service Discovery in .NET](https://weblogs.asp.net/ricardoperes/service-discovery-in-net)
 
 ## 📦 Libraries
 - [hashicorp/consul](https://github.com/hashicorp/consul) - Consul is a distributed, highly available, and data center aware solution to connect and configure applications across dynamic, distributed infrastructure.

docs/systems-design/systems-design.md

@@ -51,6 +51,9 @@
 - [How Uber Finds Nearby Drivers at 1 Million Requests per Second](https://newsletter.systemdesign.one/p/how-does-uber-find-nearby-drivers)
 - [System Design: How to Scale a Database](https://blog.algomaster.io/p/system-design-how-to-scale-a-database)
 - [Database Scaling](https://www.mongodb.com/resources/basics/scaling)
+- [How Discord Stores Trillions of Messages](https://discord.com/blog/how-discord-stores-trillions-of-messages)
+- [Sharding & IDs at Instagram](https://instagram-engineering.com/sharding-ids-at-instagram-1cf5a71e5a5c)
+- [Thundering Herds & Promises](https://instagram-engineering.com/thundering-herds-promises-82191c8af57d)
 
 ## 📺 Videos
 

mkdocs.yml

@@ -66,9 +66,14 @@ nav:
     AI: ai/ai.md
     Embedding & Vector: ai/embedding-vector.md
     LangChain: ai/langchain.md
-    RAG: ai/rag.md
     Models:
-      - Ollama: ai/models/Ollama.md
+      - Models: ai/models.md
+      - Hugging Face: ai/models/hugging-face.md
+      - Ollama: ai/models/ollama.md
+      - OpenAI: ai/models/openai.md
+      - Phi: ai/models/phi.md
+    RAG: ai/rag.md
+    Semantic Kernel: ai/semantic-kernel.md
 - Algorithms: algorithm.md
 - Anti Patterns:
   - Anti Patterns: anti-patterns/anti-patterns.md