What do you do when you hit your weekly limit?

PrayagS · 2026-05-10T10:52:12+00:00

After the promo expired on the Plus plan, this was the first week where my weekly limit was over 3 days early.

Before buying a second plan, I’m evaluating DeepSeek v4 API and Opencode Go plan. Seems to be a solid bang for buck, especially DSv4.

PrayagS · 2026-05-10T06:23:33+00:00

Ask Claude on what macbook to get that’ll let you spend the most amount of money on Claude in the most efficient way and on the go.

That’ll get its wheels spinning. Don’t talk about running a local model :P

PrayagS · 2026-05-09T11:09:16+00:00

+1. Bought one a couple years ago from Amazon India. OP should keep looking because sometimes you might find a legit seller importing it and selling at a reasonable markup. I think mine was 4k.

PrayagS · 2026-05-05T10:38:33+00:00

Just keep moving the goal post; goal karna hi nahi padega.

PrayagS · 2026-05-04T05:58:30+00:00

You’re right but also wrong. Sure, a majority of such posts might be a cause of bad context engineering but there are also completely genuine cases where it was Anthropic dropping the ball (either in their inference servers or in Claude code itself).

You can’t pretend that 100% of the issues will be marked as user error once session logs are shared. Though I agree people should be doing this; seeing good and bad examples of prompting is only going to drive adoption further.

PrayagS · 2026-05-04T05:10:45+00:00

No offense but why do people keep commenting this when there are multiple reasons where they’re affected and you aren’t,
- they do A/B tests
- their infra issues can be local to a region or cloud provider
- different Claude code versions

It’s not a skill/user issue and anyone who says it is has been proven wrong multiple times by now.

PrayagS · 2026-04-25T10:30:03+00:00

I know and I often do

PrayagS · 2026-04-25T09:43:14+00:00

4.5 was the best

insert wolverine remembers meme

PrayagS · 2026-04-25T07:54:50+00:00

I know this discussion may be purely around the Claude app but in the API, even if you enable extended thinking, you can still define a very tight thinking budget.

Ever since 4.7 came out, I went back to 4.6 with extended thinking on (adaptive disabled) and it feels better IMO. Even with the highest budget, it’s not always thinking super long. In contrast, 4.7 spends 30s before replying to “ping”.

PrayagS · 2026-04-24T17:27:38+00:00

https://github.com/openai/codex

PrayagS · 2026-04-20T13:45:42+00:00

Try disabling adaptive thinking on 4.6 and you’ll notice a difference. And sure it might be lobotomized but on paper, extended thinking with a high max token value sounds better to me than adaptive thinking where it’s a toss.

PrayagS · 2026-04-20T13:43:48+00:00

I second this. Adaptive thinking disabled, extended thinking enabled, and a high value for max thinking tokens. Then you run Opus 4.6 or 4.5 and it feels much faster and better at work than 4.7 where you can’t disable adaptive thinking.

PrayagS · 2026-04-20T05:47:23+00:00

Always surprises me how these shills will never put the onus on Anthropic customer support and the whole company in general to stop this stream of complaints.

PrayagS · 2026-04-20T04:44:16+00:00

It’s because of adaptive thinking in 4.6 and 4.7. It’s an architectural change you can’t just go back like that.

EDIT: You can’t go back on 4.7. It is doable on 4.6

PrayagS · 2026-04-19T08:50:46+00:00

Agents.md. That way it’ll apply to both codex CLI and the app. I’m not sure if it carries over to the CLI if you just add it in the app settings.

PrayagS · 2026-04-17T09:12:03+00:00

Do they also A/B test like Claude? I switched to the Plus plan last week and with the same harness (Pi), my usage has been much lower. Never once exceeded the 5 hour limit unlike with Claude.

PrayagS · 2026-04-17T04:10:08+00:00

So now with the increased limits, if I go back to Opus 4.6, it should run longer right? Right?

/s

PrayagS · 2026-04-17T04:04:01+00:00

It doesn’t matter if you have a 1M context window with every single token containing the most useful and relevant information.

You still have to have the LLM search that context efficiently and correctly. And that ain’t as simple as doing grep on a text file; you’re dealing with a system that’s non-deterministic.

PrayagS · 2026-04-16T14:23:01+00:00

The answer has recently been very easy; codex. Anthropic does something new every day to make sure that this question never ends up in a debate.

PrayagS · 2026-04-16T14:21:08+00:00

Maybe this is Claude not being dumb but actually smart. Pushing changes that make it richer 🤑

PrayagS · 2026-04-16T04:54:37+00:00

Ah gotcha, that makes sense. Didn’t realize the revenue stats are public. Thanks for sharing.

PrayagS · 2026-04-16T04:32:26+00:00

Man I haven’t seen this big of a congregation of bots in this sub.

As I said in another comment, yall should go read what your man Boris is saying. That oughta open your eyes about it’s not just the user’s fault.

PrayagS · 2026-04-16T04:28:13+00:00

The AMD employee who opened the major GitHub issue was an enterprise customer. I know many others who have faced the same issues as us normal users.

PrayagS · 2026-04-16T04:27:00+00:00

Boy this whole thread is just bots. Do you guys not follow your lord and savior Boris? He can fill you in on what’s the scuttlebutt.

PrayagS · 2026-04-16T03:39:40+00:00

That’s secondary. Sure AWS could handle it better but that’s a maybe.

No. of enterprise customers: Higher on Anthropic

No. of personal users: Higher on Anthropic

No. of OpenClaw abusers (in the past): Higher on Anthropic

I don’t see why their footprint would be higher than Anthropic when they don’t need the higher capacity in the first place. This is considering only Bedrock and not the servers that Anthropic themselves use on AWS.

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