sweep
react-agent
sweep | react-agent | |
---|---|---|
37 | 8 | |
7,115 | 1,316 | |
2.6% | - | |
10.0 | 4.3 | |
2 days ago | 30 days ago | |
Python | TypeScript | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
sweep
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Show HN: Dewhale – GitHub-Powered AI for effortless development
What's the difference with https://sweep.dev ?
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My 2024 AI Predictions
- https://sweep.dev have a bot where you create a GitHub comment and it writes the PR to fix it. They have between 30% and 70% success rate. This is pretty bad but they're one of the best today
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🚀 7 AI Tools to Improve your productivity: A Deep Dive 🪄✨
6️⃣ Sweep AI 🧹
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CMV: People who expect AGI in 2024 will be disappointed
https://github.com/sweepai/sweep arguably already does the work of an "average" programmer
- My lightweight Docker deployment script for webhooks
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Introduction to Open Source
The GitHub repo I researched and found was a repo that utilizes UI to create code changes based on user bug reports https://github.com/sweepai/sweep. This feature works with small errors and is aimed to eliminate developers from opening tickets that involve small bug fixes or refractors. I know that learning a new language often has many set backs and learning curves. After finding this project I believe I can learn some basics of Python while also utilizing UI.
- Sweep: Turn bugs and feature requests into code changes
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[P] AI developer uses Pytorch 2.0 documentation
I wanted to share how we got Sweep, an AI-powered junior developer, to use the latest pytorch documentation. We wrote a simple webcrawler using Playwright, which bypasses a lot of issues while scraping. Also, because we only need to crawl documentation, we can filter out common tags in markdown. This lets us accurately crawl and index any docs site. Try it now at https://github.com/sweepai/sweep! You can add docs by going to your sweep.yaml and adding both the keyword and the url.
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Launch HN: Sweep (YC S23) – A bot to create simple PRs in your codebase
We have that! You can directly append to our system prompt here to customize Sweep https://github.com/sweepai/sweep/blob/main/sweep.yaml
react-agent
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🚀 7 AI Tools to Improve your productivity: A Deep Dive 🪄✨
4️⃣ React Agent 🕵️♂️
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Boss told me if we could use chatGPT to make a big coding project for us.
Well, if you're coding in React, I have an experimental autonomous agent for you https://github.com/eylonmiz/react-agent, still experimental, but nice results so far.
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GPT-4 is Better Without Internet?
I'm building an OSS React Agent library, in this example, it is reading data and feeding chatGPT from the filesystem, but it can be the same as for any integration, like Google search or scraping results. https://github.com/eylonmiz/react-agent/blob/main/backend/main/react-agent/generateComponents.ts One of the features I'm implementing now is reading library docs from the web, once I finish this feature I could show a full implementation that includes scaping the web, but it should be straightforward using puppeteer integration instead of filesystem integration
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Introducing ReactAgent: The open-source React.js Autonomous LLM Agent
Website · Watch Demo · Github Repo · Docs · Discord
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Are autonomous software engineer agents the future of coding?
I'm using AI assistant tools for coding for the past 3-4 years, for Tabnine to Copilot and ChatGPT. They all go on the auto-completion route, which is nice, but it goes as far as saving me 30% - 70% of the time, making me more productive, let's say I can do 2X instead of 1X. In my humble opinion, it is not enough. I think we are a few steps away from exponential growth in software development speed, but it will be powered by software agents. No linear growth, exponential one. They generate specs, read specs, do PRs, do architecture planning, test code, and search for new libraries and technologies. It won't be linear growth, with no man in the loop (maybe initially), this could lead to the read Extreme programming vision, but autonomous. I've been working on an open-source experiment/project (ReactAgent) doing that for limited spec, using GPT-4, generating React.js (frontend framework) from user stories of a product manager (that BTW, we're also been generated by ChatGPT). I would love to know what you think, or even talk about how you see the future of software development! Repo: https://github.com/eylonmiz/react-agent Demo Video: Watch Demo » Website: https://reactagent.io/
I would love to know what you think, or even talk about how you see the future of software development!
Repo: https://github.com/eylonmiz/react-agent
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Self taught developers how do you do it?
as a self-taught web developer, that worked at multiple startups and co-founded a few of my own, my only advice is hard work on real projects. you can also work on OSS projects. if you're willing to work on an OSS project, I have one of my own that just started, I could also mentor you and help you get a paying job, this is the project: https://github.com/eylonmiz/react-agent
What are some alternatives?
ferris - A low profile split keyboard designed to satisfy one single use case elegantly
react-gpt - The open-source React.js Autonomous LLM Agent [Moved to: https://github.com/eylonmiz/react-agent]
miryoku - Miryoku is an ergonomic, minimal, orthogonal, and universal keyboard layout.
duet-gpt - A conversational semi-autonomous developer assistant. AI pair programming without the copypasta.
developer - the first library to let you embed a developer agent in your own app!
react-llm - Easy-to-use headless React Hooks to run LLMs in the browser with WebGPU. Just useLLM().
popcorn - 36 key corne thing but with more stagger.
botpress - The open-source hub to build & deploy GPT/LLM Agents ⚡️
github-pr-summary - Use ChatGPT to summarize & review GitHub Pull Requests
E2B - Secure cloud runtime for AI apps & AI agents. Fully open-source.
zmk - ZMK Firmware Repository
cody - AI that knows your entire codebase