Understanding your AI markdown files - Part 1
AI instruction files in our codebases are becoming a chaotic mess. We either dump every rule into one massive repository file, or scatter vague markdown docs across the project hoping the AI figures it out. I am Sathiesh Veera, I am an AI Solutions architect and I build solutions that use AI. In this video, we talk about the different AI instruction files, their history and the purpose. We will cut through the noise to understand what files like CLAUDE.md, AGENTS.md and skill definitions actually do, how many of them are there, why they must not conflict, and how they shape our AI agent's behavior. Clearing up this confusion and understanding these files is an essential need for anyone working with the AI IDE tools. Chapters: 00:00 Introduction 01:02 Instructions vs Config 03:00 Evolution of AI Instruction files 06:04 Efficiency of the files 06:42 Always vs OnDemand 07:28 Five Categories 09:21 Scopes 10:42 Overrides & Conflicts 13:34 Understand any repo #aifundamentals #claude #agents #githubcopilot #markdownfiles #TechnologyDebunk #aibestpractices

How AI agents & Claude skills work (Clearly Explained)

Platform Engineering in the age of Generative AI -

AI 102 vs Google AI Engineer Which Certification Pays More in 2026

You Can Learn AI Agent Harness & Loop Engineering In 19 Min | LLM Ops, Eval, Tracing, RAG

Understanding your AI markdown files - Part 2 (Detailed Explanation)

Everything about RAG (Retrieval Augmented Generation) - Simple Explanation with Examples

This New Google Format Gives Your AI Agent a Second Brain

Harnesses in AI: A Deep Dive — Tejas Kumar, IBM

Model Context Protocol (MCP) Explained for Beginners: AI Flight Booking Demo!

Don't learn AI Agents without Learning these Fundamentals

Complete Agentic AI Course - AI Agents, RAG, Embeddings, Architectures, Framework, VectorDB & Memory

"Software Fundamentals Matter More Than Ever" — Matt Pocock

The Science of Prompt Engineering

Turing Award Winner: Disagreeing with Google, Postgres, Future Problems | Mike Stonebraker

Google Just Dropped a Masterclass on Agentic Engineering (It's SO Good)

This Completely Changes the Way We Build Production AI Agents (Vercel Eve)

Concepts behind the AI Glossary

Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026

AI Agents Full Course 2026: Master Agentic AI (2 Hours)

