# arunpshankar/react-from-scratch

<https://repo.masters-masters.com/en/repos/arunpshankar/react-from-scratch>

[Home](https://repo.masters-masters.com/en) › [arunpshankar](https://repo.masters-masters.com/en/owners/arunpshankar) › [react-from-scratch](https://repo.masters-masters.com/en/repos/arunpshankar/react-from-scratch)

arunpshankar/react-from-scratch has 169 stars on GitHub. Its RepoMasters card: Prototype tier. This repo compiles a collection of examples that demonstrate…

| Field | Value |
| --- | --- |
| Owner | [arunpshankar](https://repo.masters-masters.com/en/owners/arunpshankar) |
| Stars | 169 |
| Forks | 56 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2024 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [arunpshankar/react-from-scratch](https://github.com/arunpshankar/react-from-scratch) |

## Repository

This repo compiles a collection of examples that demonstrate the effective use of the ReAct pattern in LLM prompting. It includes variations and implementations of agents that leverage the ReAct pattern, optimized for Gemini.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

## More repos by arunpshankar

- [arunpshankar/LLM-Text-to-SQL-Architectures · ★ 263 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/en/repos/arunpshankar/LLM-Text-to-SQL-Architectures)
- [arunpshankar/Agentic-Workflow-Patterns · ★ 226 · Python · Prototype](https://repo.masters-masters.com/en/repos/arunpshankar/Agentic-Workflow-Patterns)

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.