sweep
Sweep: open-source AI-powered Software Developer for small features and bug fixes. (by sweepai)
github-pr-summary
Use ChatGPT to summarize & review GitHub Pull Requests (by flows-network)
| sweep | github-pr-summary | |
|---|---|---|
| 37 | 8 | |
| 7,115 | 204 | |
| 2.6% | 1.0% | |
| 10.0 | 7.7 | |
| 1 day ago | 9 months ago | |
| Python | Rust | |
| GNU General Public License v3.0 or later | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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
Posts with mentions or reviews of sweep.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-08.
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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
github-pr-summary
Posts with mentions or reviews of github-pr-summary.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-08-24.
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Rust boosts LLM app development: Make a serverless Japanese Learning bot in mins
Excited to share my journey in creating a Telegram bot that learns Japanese and answers Q&As, all thanks to https://flows.network/ built in Rust
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Ask HN: Prompt Manager for Developers
Maybe you can try https://flows.network/, which supports environment variables when creating an app. You can also manage the environment variables later with their UI. Click on https://flows.network/flow/createByTemplate/Telegram-ChatGPT, you can see you could set up system_prompt.
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Launch HN: Sweep (YC S23) – A bot to create simple PRs in your codebase
I'm wondering what will happen if we let ChatGPT review these PRs created by ChatGPT.
Yes, We made a small tool to help developer review their PR. Seems a great supplement for Sweep AI.
Build your own PR review bot in 3 minutes here: https://github.com/flows-network/github-pr-summary
- Flows.network: Add eyes, ears, memory& hands to LLMs with serverless functions
- Create your own ChatGPT bot (in Rust) to review & summarize GitHub Pull Request.
- Create and deploy your own ChatGPT bot to review & summarize GitHub Pull Request.
- Rust API for OpenAI workflows. Enable ChatGPT on your own GitHub repo to review & summarize Pull Request.
- A ChatGPT Bot (in Rust) to Review and Summarize GitHub Pull Request
What are some alternatives?
When comparing sweep and github-pr-summary you can also consider the following projects:
ferris - A low profile split keyboard designed to satisfy one single use case elegantly
wasmedge-quickjs - A high-performance, secure, extensible, and OCI-complaint JavaScript runtime for WasmEdge.
miryoku - Miryoku is an ergonomic, minimal, orthogonal, and universal keyboard layout.
sweep-ai
developer - the first library to let you embed a developer agent in your own app!
review-any-pr-with-chatgpt - GPT4-based code review for ANY public Pull Request on GitHub
popcorn - 36 key corne thing but with more stagger.
PromptPal - A Prompt Manager that focuses on On-Premise and developer experience.
zmk - ZMK Firmware Repository
landing-page
schemalint - Lint database schemas
sweep vs ferris
github-pr-summary vs wasmedge-quickjs
sweep vs miryoku
github-pr-summary vs sweep-ai
sweep vs developer
github-pr-summary vs review-any-pr-with-chatgpt
sweep vs popcorn
github-pr-summary vs PromptPal
sweep vs zmk
github-pr-summary vs landing-page
sweep vs sweep-ai
github-pr-summary vs schemalint