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It seems like all of them are a proxy for Google search?


Git can already do most of these with git hooks and for self hosting IIn a raspberry pi you only need git itself in the server and ssh. For example you can set a hook to run tests in the user machine, another to run in the server or deployments. I think people need to more about the options git already has


That's why I really like lazygit, I don't need to remember much because all the keymaps are shown in the UI. I like those kinds of Ui like whichkeys in neovim, or helix, or Doom Emacs.


I think that it's just that python people took the problem different, they made working with c and other languages better, and just made bindings for python and offloaded the performant code to these libraries. Ex: numpy


Python it's a language that really good libraries for different domains. like web: django/flask AI numpy pytorch and more. All the ecosystem for scripting and being already installed in most linux distros and on macs. For GUI it has really good bindings for the major frameworks QT,GTK.


With Python being the main language for AI, isn't like more important to be more performant? I kinda don't get Microsoft reasoning, maybe they're just tight in money


I don’t think Python is the main language of AI.


Python is pretty big as glue in the AI ecosystem as far as I can tell. It also seems to be most agent's 'preferred' language to write code in, when you don't specify anything.

(The latter is probably more to do with the preferences they give it in the re-inforcement learning phase than anything technical, though.)


With the recent anthropic incident, even if unlawful, the company will accept the government request, fearing retaliation.


> even if unlawful, the company will accept the government request

What demand did DoD make of Anthropic that the latter thought would put it in legal jeopardy?


Wouldn't show that create vitality and more money? Or it's more of fear, I think the spineless adjective stands


How would you have written the prompt?


tbh, I don't really understand it well enough to be able to give a response here. But here's a real prompt I just used on a project copy/pasted:

```

Something that seems to have been a consistent gotcha when working with llm's on this project is that there's no specific `placement` column on the table that holds the 'results' data. Our race_class_section_results table has it's rows created in placement order - so it's inferred via the order relative to other records in the same race_class_section. But this seems to complicate things quite a bit at times when we have a specific record/entry and want to know it's placement - we have to query the rest of them and/or include joins and other complications if we want to filter results by the placements, etc.

  Can you take a look at how this is handled, both with the querying of existing data by views/livewire components/etc and how we're storing/creating the records via the import processes and give me a
   determination on whether you think it should be refactored to include a column on the database for `placement`? I think right now we've got 140,000 or so records on that table and it's got nearly
  20 years worth of race records so I don't think we need to be too concerned with the performance of the table or added storage or anything. Think very hard, understand that this would be a rather
  major refactor of the codebase (I assume, since it's likely used/referenced in _many_ places - thankfully though that most of the complicated queries it would be found in would be easily identified
  by just doing a search of the codebase for the race_class_section_results table) and determine if that would be worth it for the ease of use/query simplification moving forward.
```

This comes with a rather developed CLAUDE.md that includes references to other .md documents that outline various important aspects of the application that should be brought into context when working in those areas.

This prompt was made in planning mode - the LLM will then dig into the code/application to understand things and, if needed, ask questions and give options to weigh before return with a 'plan' on how to approach. I then iterate on that plan with it before eventually accepting a plan that it will then begin work on.


I bought a Thinkpad t80 and had been pretty good so far


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