FareedKhan-dev

FareedKhan-dev / claude-code-from-scratch

Public

23 Components of the Claude Code Architecture

medium.com@fareedkhandevbuilding-claude-code-using-harness-engineering-d2e8c0da85f0 claude claude-code codex openai
13
4
100% credibility
Found Apr 07, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

An educational repository with 23 progressive Python scripts building a full-featured AI coding agent inspired by Claude Code, from basic loops to multi-agent production systems.

How It Works

1
🔍 Discover the tutorial

You stumble upon this fun guide that shows how to build your own smart coding helper from the ground up, step by step.

2
📥 Get the files ready

You grab the ready-to-use files and set up a simple workspace on your computer.

3
🔌 Link your AI brain

You connect a smart AI service like Claude so your helper can think and decide.

4
🚀 Start the magic loop

With one command, your basic helper comes alive, thinking and acting on simple tasks right in your terminal.

5
📚 Unlock new powers

You try exciting upgrades like planning ahead, teaming up agents, or handling big projects safely.

6
⚙️ Tweak and perfect

You adjust settings for safety, speed, or extra helpers, watching it get smarter each time.

🎉 Your pro coder is ready

Now you have a powerful, safe assistant that codes, plans, and collaborates like a dream team.

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AI-Generated Review

What is claude-code-from-scratch?

This Python repo builds a Claude Code agent from scratch, starting with a simple loop and scaling to 23 components like multi-agent teams, permissions, and prompt caching. It recreates the claude code architecture around Anthropic models (or any via LiteLLM proxy), solving the gap between raw prompts and production coding harnesses. Users get CLI scripts for features like session resuming, git isolation, and YAML-governed tools.

Why is it gaining traction?

It stands out as a claude code tutorial from scratch with phased unlocks—run one script for basics, another for teams—mirroring Claude Code's real system without hype. Devs love the model-agnostic setup, declarative permissions, and hooks for observability, beating fragmented github components libraries or prompt experiments. The blog diagrams and quickstarts make claude code app from scratch instantly playable.

Who should use this?

AI builders prototyping dev agents, backend teams needing task graphs and worktree isolation, or researchers dissecting claude components. Perfect for Python devs exploring claude code from github copilot alternatives, especially those handling long sessions or parallel tools.

Verdict

Grab it for hands-on claude code project from scratch learning—1.0% credibility score and 13 stars reflect early stage, but thorough docs and MIT license make it low-risk. Production? Wait for more tests; for now, it's a sharp architecture blueprint.

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