zlacker

>>hugoda+(OP)
I've been doing something a lot like this, using a claude-desktop instance attached to my personal mcp server to spawn claude-code worker nodes for things, and for a month or two now it's been working great using the main desktop chat as a project manager of sorts. I even started paying for MAX plan as I've been using it effectively to write software now (I am NOT a developer).

Lately it's gotten entirely flaky, where chat's will just stop working, simply ignoring new prompots, and otherwise go unresponsive. I wondered if maybe I'm pissing them off somehow like the author of this article did.

Now even worse is Claude seemingly has no real support channel. You get their AI bot, and that's about it. Eventually it will offer to put you through to a human, and then tell you that don't wait for them, they'll contact you via email. That email never comes after several attempts.

I'm assuming at this point any real support is all smoke and mirrors, meaning I'm paying for a service now that has become almost unusable, with absolutely NO means of support to fix it. I guess for all the cool tech, customer support is something they have not figured out.

I love Claude as it's an amazing tool, but when it starts to implode on itself that you actually require some out-of-box support, there is NONE to be had. Grok seems the only real alternative, and over my dead body would I use anything from "him".

>>bastar+Dj
Anthropic has been flying by the seat of their pants for a while now and it shows across the board. From the terminal flashing bug that’s been around for months to the lack of support to instabilities in Claude mobile and Code for the web (I get 10-20% message failure rates on the former and 5-10% on CC for web).

They’re growing too fast and it’s bursting the seams of the company. If there’s ever a correction in the AI industry, I think that will all quickly come back to bite them. It’s like Claude Code is vibe-operating the entire company.

>>throwu+Ok
The Pro plan quota seems to be getting worse. I can get maybe 20-30 minutes work done before I hit my 4 hour quota. I found myself using it more just for the planning phase to get a little bit more time out of it, but yesterday I managed to ask it ONE question in plan mode (from a fresh quota window), and while it was thinking it ran out of quota. I'm assuming it probably pulled in a ton of references from my project automatically and blew out the token count. I find I get good answers from it when it does work, but it's getting very annoying to use.

(on the flip side, Codex seems like it's being SO efficient with the tokens it can be hard to understand its answers sometimes, it rarely includes files without you doing it manually, and often takes quite a few attempts to get the right answer because it's so strict what it's doing each iteration. But I never run out of quota!)

>>laserD+yL
Self-hosted might be the way to go soon. I'm getting 2x Olares One boxes, each with an RTX 5090 GPU (NVIDIA 24GB VRAM), and a built-in ecosystem of AI apps, many of which should be useful, and Kubernetes + Docker will let me deploy whatever else I want. Presumably I will manage to host a good coding model and use Claude Code as the framework (or some other). There will be many good options out there soon.

>>nwatso+Qj1
I've been using local LLMs since before chatgpt launched (gpt-j, gpt-neox for those that remember), and have tried all the promising models as they launch. While things are improving faster than I thought ~3 years ago, we're still not there in terms of 1-1 comparison with the SotA models. For "consumer" local at least.

The best you can get today with consumer hardware is something like devstral2-small(24B) or qwen-coder30b(underwhelming) or glm-4.7-flash (promising but buggy atm). And you'll still need beefy workstations ~5-10k.

If you want open-SotA you have to get hardware worth 80-100k to run the big boys (dsv3.2, glm4.7, minimax2.1, devstral2-123b, etc). It's ok for small office setups, but out of range for most local deployments (esp considering that the workstations need lots of power if you go 8x GPUs, even with something like 8x 6000pro @ 300w).

>>Nitpic+xs1
It's amazing how inefficient and cost prohibitive this tech is currently both for consumers, and large host.

Yes I like my crack at 20, bucks a month, but the tech is going to need to improve quick to keep that up.