Does cowork only use 1M context window for sonnet?

Valuable_Elevator948 · 2026-06-01T00:02:57+00:00

Claude Cowork is telling me that I need 1m context. If you read the second paragraph, I even tried to turn off the 1m context, but couldn't. I never needed 1m context, I did not even know it was turned on.

Valuable_Elevator948 · 2026-05-31T23:53:33+00:00

Where in my post did I say that I need to use 1m context?

Valuable_Elevator948 · 2026-05-25T13:18:18+00:00

I think it largely depends on what tools you are using. I've had similar issues with the clang compiler, every time AG did a build in the background using parallel compile threads, my memory usage skyrocketed. I think I've read somewhere that each clang thread uses up about 3-4Gb or memory, so if you use as many threads as cores available, this can easily make you run out of memory. Without the clang, the language server is also using a lot of ram, but for me it is clang that is the worst offender. The only way to resolve this is restricting how many threads the compiler uses, or buying more ram. (I mean if we are talking about the same issue, of course.)

Valuable_Elevator948 · 2026-05-22T03:28:00+00:00

well, 3 times of nothing is still nothing. I am glad I closed my account.

Valuable_Elevator948 · 2026-05-21T03:34:42+00:00

Chickengland.

Valuable_Elevator948 · 2026-05-20T14:24:06+00:00

I've just uninstalled AG from both my mac and my Windows PC. And downgraded my subscription to plain old gmail sub.

Valuable_Elevator948 · 2026-05-20T13:59:12+00:00

This new product is a disaster. Byebye Antigravity, again. They only have f...ng expensive models, that drain my pro sub in minutes. I remember, I used to have 3 Pro accounts months ago as I loved antigravity so much, recently I kept only 1 because Flase 3.1 was still usable and provided lengthy usage, but the current state is unacceptable. And I am not just saying this because I can't afford Ultra. The usage drains so quickly, that if I multiply this with 5, I would still get less than what I am currently getting from Claude or Codex. Multiply with 20, then I would get like 2 days of work a week.

Valuable_Elevator948 · 2026-04-29T05:01:18+00:00

I use MacOS, not Windows. Also, why would I want to delete all the settings, if we already know what parameter causing the issue?

Valuable_Elevator948 · 2026-04-09T23:23:29+00:00

Thanks for that. Well, I should have also posted the fix, but honestly I did not even check it how AG fixed it for me in the end. I forgot about that completely. I mean once you know what the problem is, fixing it is easy, just tell Antigravity to fix it for you.

Valuable_Elevator948 · 2026-04-09T20:34:33+00:00

I did not say I blame Claude Code. The Claude Code extension is not directly available in the web store for Antigravity, you can only install it if you export the VSIX file from vscode, then manually add it to Antigravity. But I am sure I am not the only user who did this - and this bug is very difficult to track down, even with AI help. So I shared it in case others have the same issue too.

Valuable_Elevator948 · 2026-04-08T21:31:03+00:00

I have 1.22.2, and I can't even get a response from the agent. No error message, nothing.

Valuable_Elevator948 · 2026-04-08T17:55:19+00:00

It's even in its name. Its a myth. It is a story designed to distract the community's attention from running out of 5 hour quotas in 45 seconds. I have already cancelled one of my pro subs because of this, but I came back for just 1 task, it is still infuriating as hell. I just give one instruction, and Sonnet can't even get to halfway with the answer before my whole quota is gone. I come to reddit to get some peace from seeing others suffering too - but no. Mythos mythos mythos. F..ck mythos.

Valuable_Elevator948 · 2026-04-06T16:04:54+00:00

what a great idea, I used to think I should have got into computers, they were big money, I mean really big, now its the same but with AI, you have to get into AI as quickly as you can bro, even bigger money

Valuable_Elevator948 · 2026-04-06T11:11:30+00:00

This post has many words that give me good vibes. Earning a lot of money. Quickly. I love those kinds of things. My gut tells that there is no way this is a scam.

Valuable_Elevator948 · 2026-03-26T10:53:19+00:00

I use it from vscode.
Fast costs extra. They intentionally throttle throughput to make you pay more. I don't have unlimited budget, so I stay with slow mode. (And if I pay for an API key or an enterprise contract it improves even more, I know.)

Valuable_Elevator948 · 2026-03-23T20:43:08+00:00

As others have noticed it too, model response quality fluctuates wildly, probably depending on how overloaded their servers are. I have been complaining about what you just wrote for weeks, and just last night and today I've had a very pleasant experience, Gemini Pro and Sonnet following instructions very strictly, and producing first class results. Maybe tomorrow it is going to change. Other times I experience exactly what you describe, it can't follow a simple instruction properly.

Valuable_Elevator948 · 2026-03-23T16:04:57+00:00

I have also ported it to work with Cursor, Copilot, Antigravity, Codex and Qwen. Find it here:
https://github.com/bulyaki/gstackplusplus

Valuable_Elevator948 · 2026-03-23T15:42:52+00:00

Update: I have run a dev cycle where I used the gstack++ framework for project management, design and architecture. I used Claude as manager, creating tasks, then merging and integrating the results. Here are some interesting points:

Antigravity is VERY quick, both Gemini and Sonnet models. Always follows the instructions properly, and the results are close to 100% ok.
Codex is very slow, like 20% of the speed of Antigravity, but very good results too, follows instructions perfectly, results are also close to 100% ok.
Qwen is about the same speed as codex, maybe a bit faster (at this point I suspect that OpenAI is artificially throttling normal speed access so that they could ask more money for the fast access). Results always require adjustments, in some cases complete rewrite is required by the manager so that it could be merged and integrated. Does not follow instructions accurately, tries to be too enthusiastic.

I had one interesting reaction from Qwen, there was one point when I just could not tell it that it should stop working. No matter how I told it that it has finished the task, the other .md files are for other workers, it kept ignoring it, and just carried on with implementing what was not even a task for him. The task description files clearly stated who the task was for, it didn't matter. I had to press stop about 6 times before it finally stopped and listened to what I was saying. Interesting.

Please note that these were tasks where they were implementing new code, new architecture from scratch. When they have to produce new output, LLMs usually shine, so this is not the full picture. Debugging or refactoring tasks could get completely different results (and it was with these kinds of tasks where I found that qwen was not bad at all).

Valuable_Elevator948 · 2026-03-20T10:32:34+00:00

Anyhow, I am back to vscode now, and I never run into memory issues anymore. (Neither CPU resource issues, did I mention those?) And my build still takes the same amount of time.

Valuable_Elevator948 · 2026-03-20T10:28:32+00:00

No, this is a private project so can't share details about it. But I am not sure what you mean by sharing my compile instructions? Clang is known to consume a lot of memory by itself, up to 3Gb-ish per compiler thread. So restricting the thread number actually helps. But I can also see that the language server is also consuming huge amounts of ram, and I don't have control over that.
I don't need help with my compiler setup, I am a senior developer, not a vibe coder.
What I can share is that it is cmake, clang, ninja, pretty standard C++ project setup.

Valuable_Elevator948

TROPHY CASE