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DeepClaude – Claude Code agent loop with DeepSeek V4 Pro

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Re: DeepClaude – Claude Code agent loop with DeepSeek V4 Pro

#152

Earlier quoted context omitted.

Their process is outlined here: https://github.com/badlogic/pi-mono/blob/main/CONTRIBUTING.m... > Maintainers review auto-closed issues daily and reopen worthwhile ones. Issues that do not meet the quality bar below will not be reopened or receive a reply. Seems like not an unreasonable way to deal with the problem of large numbers of low quality issues being submitted.

But how is it any different from keeping them open? Like if they are going to sort through all the issues eventually (like they claim), why not just close the ones that are not worthy when they get to them instead of closing all by default? Is it just so that the project doesnt have open issues on its github page? But they are open issues in reality because the maintainer will eventually go through them? Nothing is "…

They address the decision at the end of those contribution guidelines linked above, specifically:

It is a guardrail against burnout and tracker spam

Its based on their implied perspective that the majority of submissions don't follow those guidelines which helps determine their quality threshold.

https://github.com/badlogic/pi-mono/blob/main/CONTRIBUTING.m...

Re: DeepClaude – Claude Code agent loop with DeepSeek V4 Pro

#153

Earlier quoted context omitted.

> But my impression so far is even when model subsidization is done, those open source models are quite viable alternatives. My understanding is that DeepSeek V4 Pro is going to be uniquely good at working on consumer platforms with SSD offload, due to its extremely lean KV cache. Even if you only have a slow consumer platform, you should be able to just let it grind on a huge batch of tasks in parallel entirely unat…

Is there any place I can read about KV? Excuse my ignorance as I'm not familiar with this topic and I read scattered notes that deepseek's cost are well optimized due to how their kv cache work. But I want to read more how kv cache relates to the inference stack and where does it actually sit. > AIUI, people are even experimenting with offloading the KV cache itself to storage, which may unlock this batching capabili…

KV cache generally grows linearly with your current context; it gets filled-in with your prompts during prompt processing, and newly created context gets tacked on during token generation. LLM inference uses it to semantically relate the currently-processed token to its pre-existing context.

> Any reason that this idea was considered bad?

Because the KV cache was too big, even for a small context. This is still an issue with open models other than DeepSeek V4, though to a somewhat smaller extent than used to be the case. But the tiny KV of DeepSeek V4 is genuinely new.

Re: DeepClaude – Claude Code agent loop with DeepSeek V4 Pro

#154
I've been using DeepSeek v4 pro as an alternative to Claude models and for the first time I can see it as a real replacement. With the other Chinese models, I was missing something, but DeepSeek seems good enough for the kind of development I want to do.

Re: DeepClaude – Claude Code agent loop with DeepSeek V4 Pro

#155
post #9

If you're okay with sonnet level performance, this sounds like a straight upgrade. But I find that sonnet messes up too much, that it ends up not being worth cost optimizing down to using it or another sonnet-level model. Glad to have this as an option though

This has been my experience working on tsz.dev. Only Opus 4.7 and GPT 5.5 can really be productive for the remaining test cases.

Re: DeepClaude – Claude Code agent loop with DeepSeek V4 Pro

#156

Earlier quoted context omitted.

I don't always copy paste vibe coded project readme mds into Claude code and ask them to rewrite it but when I do... actually that's all I do now because my goal in life is to make wealthy overvalued companies wealthier.

Anthropic is the opposite of wealthy, the more you use their service, the more money they lose. Unless you think your precious MDs being used for training data is gonna make them rich eventually.

Their marginal inference cost is less than what they charge for it. Normally that is considered profitable...

Re: DeepClaude – Claude Code agent loop with DeepSeek V4 Pro

#157
post #30

If you're looking for Claude Code alternatives, I would first suggest looking into pi.dev or opencode for your harness. And then for models, you can choose from OpenCode Go (IMO most cost effect at this moment), OpenRouter, or direct from DeepSeek. Better if you go the Kimi route IMO and just buy a subscription from kimi.com

>If you're looking for Claude Code alternatives, I would first suggest looking into pi.dev or opencode for your harness. While those are nice, Claude Code has the largest amount of plugins and skills I want to use.

Aren't skills just literal plaintext files? Why not just copy them?

Re: DeepClaude – Claude Code agent loop with DeepSeek V4 Pro

#158
post #21

#!/bin/sh export ANTHROPIC_BASE_URL=https://api.deepseek.com/anthropic export ANTHROPIC_AUTH_TOKEN=sk-secret export ANTHROPIC_MODEL=deepseek-v4-flash export CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC=1 exec claude $@

thanks, that was super easy.

I have been wanting to try CC with different models since Opus went downhill last month..

What limitations or issues have you noticed when using DeepSeek with Claude Code if any?

Re: DeepClaude – Claude Code agent loop with DeepSeek V4 Pro

#159
post #149
post #96

Earlier quoted context omitted.

ANTHROPIC_MODEL=deepseek-v4-pro[1m] ANTHROPIC_SUBAGENT_MODEL=deepseek-v4-flash This is what I’ve been using for non-confidential projects for about a week now (soon after v4 came out). I honestly can’t tell the difference, but I’m not doing anything crazy with it either. Worth noting that I don’t think DeepSeek‘s API lets you opt out of training. Once this is up on other providers though… (OpenRouter is just proxying…

I wanted to try this. To bring back opus and sonnet do I just reset those env's?

Correct.
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