wasp
aider
Our great sponsors
wasp | aider | |
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192 | 61 | |
11,627 | 9,450 | |
16.2% | - | |
9.7 | 9.9 | |
4 days ago | 5 days ago | |
TypeScript | Python | |
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.
wasp
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🥇The first framework that lets you visualize your React/NodeJS app 🤯
First off, Wasp is a full-stack React, NodeJS, and Prisma framework with superpowers. It just crossed 10,000 stars on GitHub, and it has been used to create over 50,000 projects.
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Getting started with Open SaaS
When building AI Blog Articles, I decided to get started as fast as possible. So I looked for a free boilerplate and stumbled upon Open SaaS, which used YC-backed Wasp. It is a full-stack React + NodeJS + Prisma that takes 8 hours to get started with.
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Ask HN: What's a batteries-included framework that's React-first?
Exactly. Wasp, https://wasp-lang.dev, is the only framework in the React/Node/Prisma space that's taking this opinionated approach to full-stack development.
For example, you get full-stack auth by just adding this to your config file:
`auth.methods: { email: {}, google: {} }`
Then you on-the-fly Auth UI components and all the necessary hooks
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🕵️♂️ The Art of Self-Learning: How to Teach Yourself Any Programming Concept 🤓
If you already have some sort of foundation in programming, use AI and some great abstractions/frameworks to get things done even faster. For example, instead of creating everything from the ground up (and probably suffering on little things along the way) you can skip repeating yourself a ton of times by using Wasp, which is a great React/Node full-stack framework that takes care of managing the boilerplate side of programming for you. 🤯
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Aider: AI pair programming in your terminal
Aider is one of my favorite AI agents, especially because it can work with existing codebases. We've seen a lot of good results from folks who used it with Wasp (https://github.com/wasp-lang/wasp) - a full-stack web framework I'm working on.
A "marketingy" demo video: https://www.youtube.com/watch?v=DXunbNBpgZg&ab_channel=Wasp
- Garden – The Design System by Zendesk
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🎉 Our web framework reached 9,000 stars on GitHub! ⭐️ 9️⃣0️⃣0️⃣0️⃣ ⭐️
Thanks for reading! Find more about Wasp and support us on our journey to reaching 10,000 stars here.
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Web frameworks we are most excited for in 2024
For those who want the tool to have full control over their stack simply and easily, look no further! Wasp is an opinionated full-stack framework that leverages its compiler for a fast and easy way to create a database, backend, and frontend for your app. It uses React, Node.js, and Prisma, which are some of the most well-known tools that full-stack web developers are using.
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🐱Product Hunt has become pay-to-win 💰, but you should still use it to launch your product 🚀
Although our main product is Wasp, a full-stack framework on top of React & Node.js, here’s what we launched so far:
- Wasp – Rails-Like Framework for React, Node.js and Prisma
aider
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Aider: AI pair programming in your terminal
Thanks for trying aider, and sorry to hear you had trouble getting the hang of it. It might be worth looking through some of the tips on the aider GitHub page [0].
In particular, this is one of the most important tips: Large changes are best performed as a sequence of thoughtful bite sized steps, where you plan out the approach and overall design. Walk GPT through changes like you might with a junior dev. Ask for a refactor to prepare, then ask for the actual change. Spend the time to ask for code quality/structure improvements.
Not sure if this was a factor in your attempts? I'd be happy to help you if you'd like to open an GitHub issue [1] our jump into our discord [2].
[0] https://github.com/paul-gauthier/aider#tips
[1] https://github.com/paul-gauthier/aider/issues/new/choose
[2] https://discord.gg/Tv2uQnR88V
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Ask HN: If you've used GPT-4-Turbo and Claude Opus, which do you prefer?
Have you tried something like Agentic’s Glide? (They announced it this week here on HN)
They use gpt, but they might be able to configure it so it uses Claude
Another tool to check out could be aider https://github.com/paul-gauthier/aider
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Launch HN: Glide (YC W19) – AI-assisted technical design docs
Are you aware of the work on https://github.com/paul-gauthier/aider? What's your take on generating code diffs directly instead of code editing instructions?
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A Man in Seat 61
He should add AI to his site!
Not really - the site is great as-is and there's nothing wrong with this approach. It looks like it works really well for Mr. 61.
But I'd imagine it'd be pretty helpful to write tools to help with maintaining the site which do leverage LLM models. Do a combination of search + AI to rewrite + reviewing the individual edits (e.g. through selective git adds).
I'm imagining a tool like https://github.com/paul-gauthier/aider (which I haven't tried yet, but it looks useful for this kind of effort).
- Ask HN: What is the, currently, best Programming LLM (copilot) subscriptions?
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Web Scraping in Python – The Complete Guide
I recently used [0] Playwright for Python and [1] pypandoc to build a scraper that fetches a webpage and turns the content into sane markdown so that it can be passed into an AI coding chat [2].
They are both very gentle dependencies to add to a project. Both packages contain built in or scriptable methods to install their underlying platform-specific binary dependencies. This means you don't need to ask end users to use some complex, platform-specific package manager to install playwright and pandoc.
Playwright let's you scrape pages that rely on js. Pandoc is great at turning HTML into sensible markdown. Below is an excerpt of the openai pricing docs [3] that have been scraped to markdown [4] in this manner.
[0] https://playwright.dev/python/docs/intro
[1] https://github.com/JessicaTegner/pypandoc
[2] https://github.com/paul-gauthier/aider
[3] https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turb...
[4] https://gist.githubusercontent.com/paul-gauthier/95a1434a28d...
## GPT-4 and GPT-4 Turbo
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DeepSeek Coder: Let the Code Write Itself
Thanks for trying aider, and sorry to hear you had trouble getting the hang of it. It might be worth looking through some of the tips on the aider github page:
https://github.com/paul-gauthier/aider#tips
In particular, this is one of the most important tips: Large changes are best performed as a sequence of thoughtful bite sized steps, where you plan out the approach and overall design. Walk GPT through changes like you might with a junior dev. Ask for a refactor to prepare, then ask for the actual change. Spend the time to ask for code quality/structure improvements.
Not sure if this was a factor in your attempts? But it's best not to ask for a big sweeping change all at once. It's hard to unambiguously and completely specify what you want, and it's also harder for GPT to succeed at bigger changes in one bite.
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Voxos.ai – An Open-Source Desktop Voice Assistant
How does Voxos help avoid copying & pasting code into your IDE? I had a look around the code base and don't see any indication that it allows GPT to directly edit your source files. But maybe I am missing it?
I'm asking because this is a major focus of my open source AI coding project aider [0]. I always like to see how other projects approach the challenge of letting GPT edit existing code. Most recently aider adopted unified diffs as the GPT 4 Turbo code editing format [1].
[0] https://github.com/paul-gauthier/aider
[1] https://aider.chat/docs/unified-diffs.html
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LLMs and Programming in the first days of 2024
There is a bit of learning curve to figuring out the most effective ways to collaboratively code with GPT, either through aider or other UXs. My best piece of advice is taken from aider's tips list and applies broadly to coding with LLMs:
Large changes are best performed as a sequence of thoughtful bite sized steps, where you plan out the approach and overall design. Walk GPT through changes like you might with a junior dev. Ask for a refactor to prepare, then ask for the actual change. Spend the time to ask for code quality/structure improvements.
https://github.com/paul-gauthier/aider#tips
- Tell HN: My Favorite Tools
What are some alternatives?
reflex - 🕸️ Web apps in pure Python 🐍
gpt-engineer - Specify what you want it to build, the AI asks for clarification, and then builds it.
redwood - The App Framework for Startups
gpt-pilot - The first real AI developer
dhall-lang - Maintainable configuration files
llama-cpp-python - Python bindings for llama.cpp
Mobile-First-RWD - An example of a mobile-first responsive web design
ollama-ui - Simple HTML UI for Ollama
react-admin - A frontend Framework for building data-driven applications running on top of REST/GraphQL APIs, using TypeScript, React and Material Design
tabby - Self-hosted AI coding assistant
ansible-dhall-jsonnet
continue - ⏩ Open-source VS Code and JetBrains extensions that enable you to easily create your own modular AI software development system