Creator & Project

Hi, I’m Asha Niwale, a passionate Technology Explorer with almost a decade of experience evolving alongside changing technologies.

My expertise lies in backend engineering, system design, cloud solutions, and modern software architecture, with strong hands-on experience in C#, .NET, ASP.NET Core, microservices, and scalable backend development.

Alongside backend engineering, I’m actively growing as an AI Application Engineer — exploring modern AI systems including RAG (Retrieval-Augmented Generation), LangChain, Agentic AI, LLM applications, and intelligent workflow automation.

I’m deeply interested in how traditional software engineering and modern AI can work together to build smarter, more efficient, and production-ready applications.

I created Codepth with one simple mission:

To make all C# and .NET concepts easy to learn and accessible on one platform for every developer.

Codepth is a comprehensive, interactive learning resource designed to help developers master C# and .NET features — from fundamentals to advanced concepts.

What’s inside

• ▸C# Features — 50+ language features from C# 1.0 through C# 13, filtered by difficulty, version, and category
• ▸.NET Features — ASP.NET Core, DI, middleware, Minimal APIs, SignalR, and more
• ▸Version Matrix — .NET / ASP.NET Core / C# compatibility at a glance
• ▸Senior Guide — the concepts that separate senior from mid-level .NET engineers
• ▸Playbook — real-world patterns for the problems you actually hit in production
• ▸AI Path — a 7-part guide for .NET engineers adding AI to their skillset

Why this project?

C# is a mature, powerful language with a rich feature set. While official documentation exists, there wasn’t a single place where you could learn about every feature with clear, concise explanations, practical examples, and context about when and why to use each feature. Codepth fills that gap.

When you click a feature card, the site calls a FastAPI backend hosted on Render. The backend checks a Supabase cache first — if the explanation has been generated before, it returns instantly. On a cache miss it calls Groq (LLaMA 3) to generate a fresh explanation, then caches it permanently.

On your device, explanations are cached in localStorage for 24 hours so navigating away and coming back is instant. The ⚡ badge on a card means the explanation is already in your local cache.

Your feedback helps make this resource better! Whether you have questions, suggestions for new features, or want to report an issue, I’d love to hear from you.

This project is continuously evolving. New features will be added, explanations will be enhanced, and the platform will grow based on community input.