My learnings so far

Simple AI assistant that can talk to Google Drive docs and create tasks in Asana.

This is a simple POC for a Chrome extension that shows how to use LLM on the Web locally.

A simple Rag use case over blown to show conditional and parallel execution of graph with LangGraph and Ollama models.

Simple example showing how to use Tools with Ollama and LangChain and how to implement a human in the loop with LangGraph.

Simple POC using NextJS and Python to capture live feed from user's agent and ask LLM questions around it.

Build a simple Rag agent that can decide based on the user's input if it needs to search the web or can find the answer from the documents avaiable to it.

Simple example of a WhatsApp Bot using AI to answer questions.

A simple React based UI to apply some testing principles.

This is an effort to learn how extensions work and builing a simple Bookmark extension using the chrome built in api and react.

A simple vite based React app, demonstrating how to use Dependency Injection in frontend

Simple React Micro frontends build with docker containe.

This is a simple POC that let's the user ask assistance for creating React component and render it as on the user's browser as well. It's a trim down version of Bolt.new.

This is simple api built with Deno, in an effort to learn and explore Deno.It uses free api from 'spacexdata' and some sample csv data.

This is a simple collection of React component that are powered with AI capability that works locally on users component.

A simple effort to learn XState in context with React, by creating sample components and showing the difference.

This is a mono repo that has examples of Module Federation with different javascript frameworks.

Simple POC using NextJS demonstrating how to stream components with server action.

Building a simple SSR react app to learn the SSR basics.

Simple Graphql subscription based reservation system, with React based UI.

Simple Node server managed by PM2 and reversed proxied and load balanced via NGINX, running on Docker containers.

Links to some bit size learning and findings.