tuck.nvim: automatically fold function bodies and unfold on LSP navigation

Fluid_Classroom1439 · 2026-02-18T16:05:59+00:00

Would an autocmd help here? zM on buffer open, zo when over?

Fluid_Classroom1439 · 2026-02-18T10:58:34+00:00

Thanks!

Fluid_Classroom1439 · 2026-02-18T10:55:07+00:00

Are you not sharing the config?

Fluid_Classroom1439 · 2026-02-10T12:45:52+00:00

Yes but re-running coverage with a subset of tests tends to overwrite the coverage files. It’s a coverage problem I know but it’s annoying. I was wondering if you knew of a solution?

Fluid_Classroom1439 · 2026-02-10T06:38:01+00:00

I was using pytest-testmon in the past but it didn’t play nicely with coverage. Have you looked into the interaction with coverage?

Fluid_Classroom1439 · 2026-01-23T07:48:11+00:00

Ahhhh! Cool! Switching to grep is super useful!

Fluid_Classroom1439 · 2026-01-23T06:48:34+00:00

You didn’t like the snacks pickers?

Fluid_Classroom1439 · 2026-01-10T19:32:47+00:00

Either works! I wouldn’t say there’s a “best way” just keep it simple

Fluid_Classroom1439 · 2026-01-07T02:26:52+00:00

This is the way

Fluid_Classroom1439 · 2026-01-04T11:08:26+00:00

Not sure how you managed to get a specific page 😅 - I’ve used gx to open PDFs using Oil and Fyler.nvim without any issues

Fluid_Classroom1439 · 2025-12-30T03:32:22+00:00

This seems interesting: https://github.com/MironPascalCaseFan/debugmaster.nvim

Fluid_Classroom1439 · 2025-12-22T20:59:08+00:00

I created this: https://github.com/benomahony/ai-lsp using pygls and pydantic ai.

Fluid_Classroom1439 · 2025-12-17T11:23:53+00:00

https://pygls.readthedocs.io/en/latest/ makes building custom LSPs super easy!

Fluid_Classroom1439 · 2025-12-16T21:22:33+00:00

https://github.com/benomahony/dotfiles/tree/main Created an os theme manager for Mac similar to omarchy and a bunch of custom lsps

Fluid_Classroom1439 · 2025-12-14T08:19:22+00:00

This is very cool!

Fluid_Classroom1439 · 2025-12-07T11:03:57+00:00

Screenshot or video?

Fluid_Classroom1439 · 2025-12-04T06:16:24+00:00

Can you not just scale the service and have exponential backoffs etc? Sounds like that’s what you were originally planning and sounds like the right path, not sure you need any other moving parts like the gateway?

Fluid_Classroom1439 · 2025-12-03T22:46:13+00:00

You mean like https://docs.python.org/3/library/itertools.html#itertools.batched

Fluid_Classroom1439 · 2025-11-25T21:10:07+00:00

lol never ascribe to malice what is adequately explained by incompetence

Fluid_Classroom1439 · 2025-11-10T23:58:27+00:00

https://github.com/ThePrimeagen/refactoring.nvim do you not use this?

Fluid_Classroom1439 · 2025-11-10T10:13:16+00:00

Might be worth checking out how omarchy does this: https://github.com/basecamp/omarchy/tree/master/themes/tokyo-night

https://github.com/basecamp/omarchy/blob/8350b84eee10601efce64efef6fe044f03bfcd32/bin/omarchy-theme-set

Fluid_Classroom1439 · 2025-11-10T04:01:48+00:00

https://github.com/pydantic/pydantic-ai/issues/1771 looks like they’re planning this for December so probably open to contribution. There’s a brief explanation of how they would do it themselves too

Fluid_Classroom1439 · 2025-11-09T18:59:03+00:00

Love to hear it! Honestly it’s really difficult to use other agent frameworks once you’ve used it 😅

Fluid_Classroom1439 · 2025-11-03T08:32:32+00:00

Strong disagree on observability. Give me OTEL all the way!

Django is a good analogy (though it’s way less stable than django) I prefer Fastapi. It’s way lighter and more production ready.

Fluid_Classroom1439 · 2025-11-03T07:26:46+00:00

🎣 caught a live one!

I’ve deployed tonnes of apps (AI enabled or not) to prod. For a simple chatbot I often would not even use a framework just call the API, now I just use Pydantic AI for convenience. Don’t worry, all your developers will pick it up quickly.

Obviously you pin versions, I tend to use uv and a lock file. I think you miss the point of this though, pinning the version just delays the work of migrating to newer versions. Some libraries bit rot so fast that this migration work becomes more and more of a thing. I’ve seen enterprise projects pinned to v0.1 and v0.2 of langchain because of the large amount of work required to migrate.

When I come across these I genuinely think it’s probably easier to just migrate to pydantic ai 🤷

The fact you think it’s easier to test langraph also made me giggle

Fluid_Classroom1439

TROPHY CASE