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AI · August 15, 2023

1R

10x-React-Engineer, Generate Entire React Codebases with Llama 2

Hi HN, Yesterday I live streamed myself for 6 hours building this from scratch. It’s an AI agent that uses Llama 2 (so far the 13b chat model) to generate a full react codebase from a single prompt. It had a “dev loop” that iterates on your feedback and resolves dependencies. In the end it kinda worked and I got excited so wanted to post here haha. Long story short a viewer on my discord suggested I build in of these and I just had to look into how these work (inspired by GPT Engineer and AutoGPT) I wanted to work on a more specific downstream task so I focused on web dev. Llama 2 isn’t the…

In plain words

10x-React-Engineer is an AI agent that generates complete React codebases from a single text prompt using Llama 2. It includes a development loop that iterates on user feedback and resolves dependencies automatically. Designed for web developers, the tool aims to streamline React project generation, though the creator plans to explore fine-tuned models for improved results.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

Hi HN, Yesterday I live streamed myself for 6 hours building this from scratch. It’s an AI agent that uses Llama 2 (so far the 13b chat model) to generate a full react codebase from a single prompt. It had a “dev loop” that iterates on your feedback and resolves dependencies. In the end it kinda worked and I got excited so wanted to post here haha. Long story short a viewer on my discord suggested I build in of these and I just had to look into how these work (inspired by GPT Engineer and AutoGPT) I wanted to work on a more specific downstream task so I focused on web dev. Llama 2 isn’t the best option for this so I will look into utilizing a chat fine tuned starcoder or fine tune llama 2 myself for better results. In the end I spend only some compute units testing this 1000 times on a single gpu I had in Colab and has some pretty solid results for iterating in a fairly short amount of time. Going to build upon this more in the coming weeks (clean the code…). Let me know what you think! Livestream: https://www.youtube.com/live/6_sdnYDmUmo?feature=share

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