mvATM99

6 ms·

1.
by mvATM99 2mo ago
Cheaper to write definitely, no so much cheaper to read. AI generated docs tend to be so annoyingly verbose if not reined in during prompting. But well, any documentation is good when a human would've written zero docs
2.
by mvATM99 3mo ago
It does, but it's very poorly documented and quite unstable (on purpose i think). What the other commenter said about the VSCode BYOK seems to be the more reliable way. I tried adding a Foundry LLM as Github Copilot custom model and fa
3.
by mvATM99 3mo ago
Yeah exactly. I'm not exactly building TUI's every day, but even i felt pain when i read that "small game engine" post
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by mvATM99 8mo ago
Very interesting! Gonna look through this for sure in the next weeks
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by mvATM99 10mo ago
Nice looking library! Might try it for one of my own projects.
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by mvATM99 11mo ago
You should definitely try mealie yes. On top of a good way to host your own recipes, the entire thing just feels...really well put together? I'm not even using the features beyond the recipes yet, but i'm already very happy that i
7.
by mvATM99 1y ago
I don't think youre missing out necessarily. I would riot if i couldn't use Pycharm anymore, for big python projects just nothing beats it right now. I do use VSCode too, but mostly for quick scripting or non-programming projects.
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by mvATM99 1y ago
The manual approval of commands in GHCP can be circumvented, there's an experimental setting that allows you to accept all commands automatically. I wish you could be a bit more specific though, you can't set which commands you wa
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by mvATM99 1y ago
Not sure, i can't run it since i can't install Node.js on my work environment. What is your experience with Context7 like? As for GitMCP: I think the url fetching tool of the docs it does is not great, but the code searching tool
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by mvATM99 1y ago
I've been using GitMCP.io + Github Copilot for this problem specifically (AI assistant + accurate docs). The downside is that you need to add a separate MCP server for each repository, but the qualitative difference in agent mode is in
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by mvATM99 1y ago
When you do have that work context MS copilot performs quite well. But outside of that usecase it's easy to see their model is pretty bad.
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by mvATM99 1y ago
Good to see positive reception to feedback! Sorry if my message came out as condescending, was not the intent. I recommend reading this piece on metrics https://openforecast.org/wp-content/uploads/2024/07&#x2F
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by mvATM99 1y ago
Short answer: i use multiple metrics, never rely on just 1 metric. Long answer: Is the metric for people with subject-matter knowledge? Then (Weighted)RMSSE, or the MASE alternative for a median forecast. WRMSSE is is very nice, it can deal
14.
by mvATM99 1y ago
Look i'm optimistic about time-series foundation models too, but this post is hard to take seriously when the test is so flawed: - Forward filling missing short periods of missing values. Why keep this in when you explictly mention thi
15.
by mvATM99 1y ago
Good list. Some of these i knew already, but the typing overloading and keyword/positional-only arguments were new to me. One personal favorite of mine is __all__ for use in __init__.py files. It specifies which items are imported when
16.
by mvATM99 1y ago
This is really cool and very practical. definitely will try it out for some projects soon. Can see some finetuning after generation being required, but assuming you know your own codebase that's not an issue anyway.
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by mvATM99 1y ago
What a great article, i always like how much Anthropic focuses on explainability, something vastly ignored by most. The multi-step reasoning section is especially good food for thought.
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by mvATM99 2y ago
With good reason honestly. They take all the best practices from existing tooling we had, discard the bad, and make it run blazingly fast. Ruff for me meant i could turn 4 pre-commit hooks (which you have to configure to be compatible with
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by mvATM99 2y ago
The comparison in general is quite poor. Where is a basic model list? You know, one of the biggest choices when forecasting... Also, when saying "Nixtla" do they mean TimeGPT or one of their other libraries? Because the former def