Cancelled my personal subscription (annual) yesterday.

- they "swallowed" my monthly subscription in January, I had to subscribe (and pay again)

- they promised tools to preview the new costs, they did too little and too badly (you have to click an export button, wait for a mail and click on a link on it, then download their csv which even showed substantial dollar costs for rows with 0 requests)

- models kept on appearing/disappearing/re-appearing-disabled on our company account in the latest weeks

- as of May 31th, I had no clue and could not tell if I would been migrated to token billing, or would have to stay with the moronic new multipliers. News came on Jun 1st, of course

They don't really look able or willing to properly manage their own product at the moment. And yes, new subscription are paused, so I won't be able to re-subscribe.

Quite frankly the only reason to go copilot is to have it in the VSCode chat (and yes, there's some chance to use it BYOK, provided it works).

Besides, their offering even at market prices looks inferior to what you can get elsewhere. You can use DeepSeek and pay pennies, use Fireworks and have the choice to use cheaper open models (which GitHub does not provide, and are actually good and even better than Claude sometimes), or subscribe to Open Router and use virtually anything.

I still have no idea if cancelling my subscription will get any money back, probably not.

The first time I took creatine (6g IIRC), I actually felt the mental effect just 2 minutes later. A pleasurable sensation of augmented presence and (mental) relaxation.

I paused taking that momentarily out of precaution while I wait some physical issue to normalize, but I plan to resume it in some weeks. Also it is considered a very safe supplement.

How can you be sure you weren't placebo'ing yourself into feeling it?

To my knowledge creatine has no significant effects until your levels rise after, say, a week of taking daily

I've felt dehydrated while I'm in loading phase, it's very noticeable from that perspective. But the mental effects only come after at least a week (for me: longer attention span, less impacted by poor sleep).

Well.. I can't, nobody can. Perhaps it was a placebo effect or perhaps I had low levels of creatine and felt the difference. I often felt better right after taking it though, not consistently but often.

Did you inject or smoke it in order to feel "the mental effect just 2 minutes later"? Taken orally it can only be placebo effect.

Just spent an hour trying to make it work (including re-compiling) with the jsruntime.

`Error: JavaScript modules found but libperry_jsruntime.a not found. Build it with: cargo build --release -p perry-jsruntime`

Turns out jsruntime was removed one week ago, but the error messages probably not have been updated as they should.

https://github.com/PerryTS/perry/commit/848339fa4ee4b00a53f5...

I don't really understand why the comment has been downvoted.

We actually need more of this, perhaps not in this exact shape, but similar.

It would be extremely cool to be able to write one or two lines of prompt in my harness, and have a light model iterate with me a few times writing/proposing requirements, guidelines and explanations, refining the prompt until it's ready to be sent to the actual LLM.

Lack of specifications in the prompt is (imho?) one of the main drivers that lead the LLMs astray, and it often happens because it's not realistic to always type or even thing every angle before submitting each prompt.

Think of it as the missing link between a single-shot prompt and a skill.

It should be ideally integrated in the chat, for quick access.

This project is probably different in aim, but I still find it interesting.

> It would be extremely cool to be able to write one or two lines of prompt in my harness, and have a light model iterate with me a few times writing/proposing requirements, guidelines and explanations, refining the prompt until it's ready to be sent to the actual LLM.

It is cool and (IMO) necessary, and most AI-using coders I know do this using skill suites like Superpowers (see: /superpowers:brainstorming). https://github.com/obra/superpowers

yea i can imagine it could be possibly moved to skills

Doesn't compaction invalidate token caching, btw?

I don't see how this has anything to do with my message, sorry.

TIL I might be able to use DeepSeek directly from VS Copilot https://github.com/Vizards/deepseek-v4-for-copilot (disclaimer: I have to try it yet).

Deepseek has instructions on how to do this on their website (along with many other agents):

https://api-docs.deepseek.com/quick_start/agent_integrations...

I am looking for something similar. Any tutorial or resource on how to set up things?

sorry, I'm back. Please feel free to email me at {myusername}@gmail.com. I'm glad to share with you the python code that Gemini created for me and then I asked Claude to duplicate it for Claude.

A simple GitHub gist would do the trick, just pass it through gitleaks to see if you aren't exposing secrets and you are good to go.

I was looking exactly for something like that. I tried installing the Linux version and it runs but:

1. it's behind a login wall | 2. tries to download its own OpenCode instead of using the one installed on my machine

I also tried to create a new workspace. It asked what I want to do. I tried with "create user accounts", and it proceeded to create the git worktree (without asking for its name) and sent that prompt straight to OpenCode without allowing me to choose the LLM model.

I plaud the effort - I really do - but it doesn't really seems a great experience for now.

It's also dealing with memory issues (see: Memory Megathread https://github.com/anomalyco/opencode/issues/20695).

And in my experience is not that much faster to start than more complex software like Visual Studio Code.

Because most often their real purpose is to stand out in a powerpoint presentation.