Lecture 2: Build Claude Code from Scratch: Context Engineering Manifesto

MasterLLMInferenceEngineering : https://inference.vizuara.ai/ LinkedIn: https://www.linkedin.com/in/pritam-kudale/ In this second lecture of the Build Claude Code from Scratch series, we begin with the foundation of context engineering. In this video, I explain why prompt engineering alone is not enough to build reliable AI applications, and why real AI systems need a full context stack involving system prompts, tools, memory, retrieval, conversation history, environment, and safety. We also break down the anatomy of an AI coding agent, understand how the agent loop works, and cover the five core principles of context engineering: Everything must be explicit Context is finite Position matters Freshness matters Quality beats quantity Finally, we move into the first coding session and make our first Claude API call, while also understanding token usage and response metadata. In this video: Prompt engineering vs context engineering Anatomy of an AI coding agent The 5 principles of context engineering First Claude API call Token usage and response metadata If you want to understand how modern AI coding agents are built from first principles, this series is for you.