Codearia Academy

Claude Code Memory: A Custom Brain for Every Project

Claude Code's context window is limited — even 1M tokens runs out. Learn to build an external brain for every project: three memory layers (CLAUDE.md for identity, Obsidian RAG for a living knowledge graph, Pinecone for vector recall), when to use each, and how to save tokens while turning past work into reusable patterns you can apply to a new client in seconds.

38 participants
Claude Code Memory: A Custom Brain for Every Project

Instructor

Anton Evelson

Anton Evelson

LinkedIn

Full-Stack Developer & AI Engineer

Full-stack developer and AI engineer with 4+ years of experience building production systems — from web applications and APIs to AI automation pipelines. Founded Codearia to bridge the gap between software engineering and AI, making complex automation accessible to developers at any level.

Course Content

Preview Mode
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1. What Is a Context Window (and Why 1 Million Tokens Is the Ceiling)

Reading

Free
10m

2. Where Tokens Leak: The Real Cost of Every Action

Reading

12m

3. When the Context Is Too Big — and Why That Hurts

Reading

12m

4. CLAUDE.md — The Project Passport

Reading

14m

5. Case Study: How I Digitized My Entire Studio Into Claude Code

Reading

14m

6. Designing a UX Wrapper Over Your Memory System

Reading

10m

7. Practice: Write Your First Real CLAUDE.md

Project

20m

8. Quiz: Foundation — Context, Tokens, CLAUDE.md

Module Test

8m

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Question 1 of 3

What is the primary purpose of prompt engineering?

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