Study a simplified, from-scratch rebuild of how an AI coding assistant works.
Run the notebook step by step to see how each piece is constructed.
Use it as a learning reference before building your own coding agent.
| cohlem/nanoclaude | rajchandran006-ops/rfd-classification-machine-learning-project | vt-vl-lab/video-data-aug | |
|---|---|---|---|
| Stars | 31 | 30 | 33 |
| Language | Jupyter Notebook | Jupyter Notebook | Jupyter Notebook |
| Last pushed | — | — | 2021-10-26 |
| Maintenance | — | — | Dormant |
| Setup difficulty | easy | easy | hard |
| Complexity | 2/5 | 2/5 | 5/5 |
| Audience | developer | researcher | researcher |
Figures from each repo's GitHub metadata at analysis time.
Just pip install requirements and run the script, README gives no further detail.
This is a learning project that rebuilds a simplified version of Claude Code from scratch. The description says "let's build claude code from scratch," suggesting it is an educational exercise in recreating how an AI coding assistant works at a fundamental level. The code is written in Jupyter Notebook, which is a format often used for step-by-step tutorials where you can see code and explanations side by side. Because the README is minimal and offers no further detail about features, architecture, or intended audience, this is best suited for developers curious about how AI coding tools are built internally and who want to follow along with a hands-on reconstruction.
A small educational project that rebuilds a simplified version of Claude Code from scratch.
Mainly Jupyter Notebook. The stack also includes Python, Jupyter Notebook.
The README does not state a license.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
double-check against the repo, no cap.