mods
aider
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mods | aider | |
---|---|---|
11 | 61 | |
2,370 | 9,450 | |
7.6% | - | |
9.0 | 9.9 | |
3 days ago | 4 days ago | |
Go | 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.
mods
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Essential Command Line Tools for Developers
View on GitHub
- AI on the Command Line
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LocalAI v1.18.0 release!
Mods
- FLaNK Stack 5-June-2023
- Mods adds support for LocalAI
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LLM, ttok and strip-tags–CLI tools for working with ChatGPT and other LLMs
Another enthusiastic vote for https://github.com/charmbracelet/mods - this is precisely the UX I was looking and waiting for - the day that I cloned it and started using it within my terminal was the day I no longer needed to even window out to firefox - and it feels very natural to compose with pipes, wrap into shell scripts, etc.
Early days, but you can see some of the ways this is already helping me out quite a bit (and increasing my enjoyment of things I already like to do): github.com/zackproser/automations
- Mods: AI for the command line built with Bubble Tea and Go
- GPT for command line pipelines
- ChatGPT on the command line
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?
wizapp - The Wizard's Apprentice, an AI-powered Typescript project functionality suite with CLI.
gpt-engineer - Specify what you want it to build, the AI asks for clarification, and then builds it.
LocalAI - :robot: The free, Open Source OpenAI alternative. Self-hosted, community-driven and local-first. Drop-in replacement for OpenAI running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. It allows to generate Text, Audio, Video, Images. Also with voice cloning capabilities.
gpt-pilot - The first real AI developer
butterfish - A shell with AI superpowers
llama-cpp-python - Python bindings for llama.cpp
bashGPT - Use ChatGPT, GPT-3 and other models from the command line.
tabby - Self-hosted AI coding assistant
chat_term - fast terminal access to ChatGPT
ollama-ui - Simple HTML UI for Ollama
shell_gpt - A command-line productivity tool powered by AI large language models like GPT-4, will help you accomplish your tasks faster and more efficiently.
continue - ⏩ Open-source VS Code and JetBrains extensions that enable you to easily create your own modular AI software development system