react-agent
cody
react-agent | cody | |
---|---|---|
8 | 22 | |
1,326 | 2,012 | |
- | 18.9% | |
4.3 | 9.9 | |
about 1 month ago | 4 days ago | |
TypeScript | TypeScript | |
MIT License | Apache License 2.0 |
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.
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
cody
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Ask HN: Cheapest way to use LLM coding assistance?
checkout the cody extension https://github.com/sourcegraph/cody available for various editors like vscode
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The lifecycle of a code AI completion
I don't think it is. There is a test file which includes C#, Kotlin, etc among supported languages, which aren't included in the file you linked: https://github.com/sourcegraph/cody/blob/main/vscode/src/com...
But this test didn't seem to include TypeScript so it's obviously not comprehensive. I'm not convinced this information is actually in one place.
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Ollama is now available on Windows in preview
Cody (https://github.com/sourcegraph/cody) supports using Ollama for autocomplete in VS Code. See the release notes at https://sourcegraph.com/blog/cody-vscode-1.1.0-release for instructions. And soon it'll support Ollama for chat/refactoring as well (https://twitter.com/sqs/status/1750045006382162346/video/1).
Disclaimer: I work on Cody.
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My 2024 AI Predictions
Have you tried Cody (https://cody.dev)? Cody has a deep understanding of your codebase and generally does much better at code gen than just one-shotting GPT4 without context.
(disclaimer: I work at Sourcegraph)
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🚀 7 AI Tools to Improve your productivity: A Deep Dive 🪄✨
3️⃣ Cody AI 🤖
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An ex-Googler's guide to dev tools
Author of the post here—as another commenter mentioned, this is indeed a bit dated now, someone should probably write an updated post!
There's been a ton of evolution in dev tools in the past 3 years with some old workhorses retiring (RIP Phabricator) and new ones (like Graphite, which is awesome) emerging... and of course AI-AI-AI. LLMs have created some great new tools for the developer inner loop—that's probably the most glaring omission here. If I were to include that category today, it would mention tools like ChatGPT, GH Copilot, Cursor, and our own Sourcegraph Cody (https://cody.dev). I'm told that Google has internal AI dev tools now that generate more code than humans.
Excited to see what changes the next 3 years bring—the pace of innovation is only accelerating!
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LocalPilot: Open-source GitHub Copilot on your MacBook
I'm sorry to hear that. We have made a lot of improvements to Cody recently. We had a big release on Oct 4 that significantly decreased latency while improving completion quality. You can read all about it here: https://about.sourcegraph.com/blog/feature-release-october-2...
We love feedback and ideas as well, and like I said are constantly iterating on the UI to improve it. I'm actually wrapping up a blog post on how to better leverage Cody w/ VS Studio, that'll be out either later today or sometime tomorrow. As far as feedback though: https://github.com/sourcegraph/cody/discussions/new?category... would be the place to share ideas :)
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Show HN: Ollama for Linux – Run LLMs on Linux with GPU Acceleration
Ollama is awesome. I am part of a team building a code AI application[1], and we want to give devs the option to run it locally instead of only supporting external LLMs from Anthropic, OpenAI, etc. Those big remote LLMs are incredibly powerful and probably the right choice for most devs, but it's good for devs to have a local option as well—for security, privacy, cost, latency, simplicity, freedom, etc.
As an app dev, we have 2 choices:
(1) Build our own support for LLMs, GPU/CPU execution, model downloading, inference optimizations, etc.
(2) Just tell users "run Ollama" and have our app hit the Ollama API on localhost (or shell out to `ollama`).
Obviously choice 2 is much, much simpler. There are some things in the middle, like less polished wrappers around llama.cpp, but Ollama is the only thing that 100% of people I've told about have been able to install without any problems.
That's huge because it's finally possible to build real apps that use local LLMs—and still reach a big userbase. Your userbase is now (pretty much) "anyone who can download and run a desktop app and who has a relatively modern laptop", which is a big population.
I'm really excited to see what people build on Ollama.
(And Ollama will simplify deploying server-side LLM apps as well, but right now from participating in the community, it seems most people are only thinking of it for local apps. I expect that to change when people realize that they can ship a self-contained server app that runs on a cheap AWS/GCP instance and uses an Ollama-executed LLM for various features.)
[1] Shameless plug for the WIP PR where I'm implementing Ollama support in Cody, our code AI app: https://github.com/sourcegraph/cody/pull/905.
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Cody – The AI that knows your entire codebase
Awesome. The repository is at https://github.com/sourcegraph/cody for anyone who hasn't seen it yet.
- Code AI with Codebase Context
What are some alternatives?
react-gpt - The open-source React.js Autonomous LLM Agent [Moved to: https://github.com/eylonmiz/react-agent]
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
duet-gpt - A conversational semi-autonomous developer assistant. AI pair programming without the copypasta.
zoekt - Fast trigram based code search
react-llm - Easy-to-use headless React Hooks to run LLMs in the browser with WebGPU. Just useLLM().
lsp-cody - A Client to Connect to the Cody LSP Gateway
botpress - The open-source hub to build & deploy GPT/LLM Agents ⚡️
koboldcpp - A simple one-file way to run various GGML and GGUF models with KoboldAI's UI
E2B - Secure cloud runtime for AI apps & AI agents. Fully open-source.
llm-ls - LSP server leveraging LLMs for code completion (and more?)
sweep - Sweep: open-source AI-powered Software Developer for small features and bug fixes.
localpilot