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DeepSeek reasonix, DeepSeek native coding agent with high caching and low cost

esengine.github.io

121–130 of 325 posts

Re: DeepSeek reasonix, DeepSeek native coding agent with high caching and low cost

#123
This website seems to have been generated by Codex - I asked Codex to create an HTML overview of a feature for my team and it made an overly produced monstrosity - complete with the same large stat boxes that were for the most part devoid of meaningful information - using the same font, colors, layout, hero section, etc. It was also terrible on mobile just like this is.

In the end I had Claude produce a one-page html file that was 95% of the way there and it took minor editing to clearly explain the intent of the feature.

Re: DeepSeek reasonix, DeepSeek native coding agent with high caching and low cost

#124
post #83
post #36

Earlier quoted context omitted.

I’m feeling more a novice every day, but how isn’t this just handing over your code to team deepseek for whatever they might want

there's laws on the books in China that says that every company operating in China must aid and abet the Chinese government in espionage against the rest of the world. given those facts, I find it deeply troubling to be using anything coming out of China, especially a program that runs in the context of a Linux terminal on a machine that might have something important on it. I'd argue it's a back door waiting to happ…

FISA section 702 / Five eyes / Room 641A.

Re: DeepSeek reasonix, DeepSeek native coding agent with high caching and low cost

#125
post #70
post #64

Can someone give me a eli5 version of what this is? It really sounds useful to Claude subscribers. Is this improving the cache hit and hence overall efficiency of coding workflows? Does it also let me host a local llm (deepseek)? What are model min requirements for this?

You can also ask Claude and get an immediate answer, the power is yours

Certainly you realize that these comments exist for more than a single person right? You expect potentially hundreds of viewers to each burn through AI tokens instead of just getting a direct and relevant answer here? This has the same vibe as the old forum posts where the only response was a "google it".

Re: DeepSeek reasonix, DeepSeek native coding agent with high caching and low cost

#127
post #31

I'm not sure you need a "DeepSeek native coding agent" to take advantage of DeepSeeks cache, yesterday as the Codex quota usage issue still wasn't solved for me, I wrote a tiny little bridge so I could use DeepSeek V4 Pro via Codex, and seems most of everything I did was basically cached as far as I can tell: https://i.imgur.com/7eKn6wN.png (2026-05-23 Input (Cache hit): 39,123,200 tokens, Input (Cache miss) 1,692,28…

Opencode has really bad cache stability issues that they seem uninterested in fixing at the moment.

I am getting 98.6% cache hit ratio on deepseek-v4-flash with opencode

Re: DeepSeek reasonix, DeepSeek native coding agent with high caching and low cost

#128
post #83
post #36

Earlier quoted context omitted.

I’m feeling more a novice every day, but how isn’t this just handing over your code to team deepseek for whatever they might want

there's laws on the books in China that says that every company operating in China must aid and abet the Chinese government in espionage against the rest of the world. given those facts, I find it deeply troubling to be using anything coming out of China, especially a program that runs in the context of a Linux terminal on a machine that might have something important on it. I'd argue it's a back door waiting to happ…

As a European I have to admit I am these days more worried about the US than China. See yesterday's article about the US government forcing Microsoft to give them lists of Dutch government officials. Utter madness. At least the Chinese mainly care about the money and power levers, the US about strange worlds of revenge and manipulation, trying to change or influence your government. E.g. which of the two countries has put crippling personal sanctions on staff of the international criminal court?

Honestly I'd love to love the US again, but basically after Obama things have just gone down and down and no soul will trust the US again in the next generation or two.

Re: DeepSeek reasonix, DeepSeek native coding agent with high caching and low cost

#129

It's pretty funny, i'm a $200/m Claude subscriber and i've had little need to use anything else. However the more Claude has been restricting my workflow (notably around the recent IDE/-p usage change) the more i've been wanting to go elsehwere. I'm concerned since i really want SOTA reasoning, but DeepSeek still has me interested.

> I'm concerned since i really want SOTA reasoning I think you should give other models a try and see how much they differ from SOTA models. I did this and realized, even Qwen-2.5-Max was enough. I am sure even Claude Sonnet 3.5 is enough for things I play around with. I am not really striving for fields medal in Mathematics.

That's fair, neither am i - i do tend to work in large, complex, full of legacy decision based codebases. Eg i have access to Sonnet (of course), but i choose to solely work in Opus because i find its output reads better, analyzes better, etc.

The "cost" is dumb models is just so high for me. Eg every bad decision they make increases my frustration quite a bit. Despite putting a lot of effort into my workflow to help reduce the number of decisions they make, they always will. So my hedge is always against that.. trying to reduce how insane they can be heh.

Re: DeepSeek reasonix, DeepSeek native coding agent with high caching and low cost

#130
post #120

It's pretty funny, i'm a $200/m Claude subscriber and i've had little need to use anything else. However the more Claude has been restricting my workflow (notably around the recent IDE/-p usage change) the more i've been wanting to go elsehwere. I'm concerned since i really want SOTA reasoning, but DeepSeek still has me interested.

I gave a fairly complex reverse engineering task to DS-4 xhigh and GPT-5.5 xhigh today. After about 6 hours, both ultimately failed to fully RE, however, there were some drastic differences: DS stopped every 30 minutes or so, saying it did full RE and it should all work now, while in fact, it didn't complete even 1% of it. It also looked for shortcuts again and again, despite me prompting heavily that the specific sh…

What you’re experiencing is the difference in model intelligence. Most models can seem pretty good at simple stuff over short time horizons. Complex work requires that more intelligence be stuffed into those trillion-dimensional spaces.
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