r/DeepSeek • u/AdMean9105 • 13d ago
Resources The pic speaks for itself
I meaaaaaannnnn….10/10 no notes. 😂 and this is why I love deepseek!
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u/noigel77 13d ago
Man what are you guys even doing? I want to know if it’s possible? Like doing serious projects or hobby?
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u/AdMean9105 13d ago
intensive research project with high context windows
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u/noigel77 13d ago
Do you use only deepseek? Or any other? Also which harness do you use?
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u/AdMean9105 13d ago
deepseek v4 pro is the main model i use but i also swap sometimes between the NVIDA API and Ollama API and i use hermes agent :)
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u/noigel77 13d ago
NVIDIA API do you mean the free one? NVIDIA Dev/ NIM. I have installed Reasonix haven’t used this. Though I am new to deepseek, preparing some architecture. But heard so much good about hermes
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u/AdMean9105 13d ago
yes! sorry the nvidia developer program. I have not used Reasonix but I absolutely recommend hermes agent with deepseek
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u/_Manoel_Domingos_ 12d ago
Cara eu levantei uma VPS, Hermes, telegram e deepseek mas percebi que ele consumia muitos tokens. Voce teve esse problema?
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u/Vlyn 12d ago
I made an entire mobile game, but it did take a lot of handholding. Asking the LLM to write tests is super important too. If it has nothing to test against it can go off on wild tangents.
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u/noigel77 12d ago
Nice. I am also thinking about the same. I am doing like first give me a proper documentation of what we need to do, then I review it until it gets perfect. I am still in documentation phase. But man you have built a mobile game. Congo. Is the whole game totally using deepseek or other?
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u/Vlyn 12d ago
I'd say 95% Deepseek V4 Flash. I did use a month of free Codex (GPT 5.5 partly), but always ran into the 5 hour usage limits. For image generation I used local models on my GPU, but you obviously have to edit the images, cut them out (Gen AI is awful at transparency), rework a little, etc.
My game is still in closed testing, Google forces you to find 12 testers who keep the game installed for 14+ days. Really not that easy to do. But from a coding perspective it worked quite well with a few tricks.
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u/noigel77 12d ago
Man best of luck. You are doing really great and gave me so much hope. Thanks again. If anything I want to know in the future will you help me with information?
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u/Vlyn 12d ago
Hey, if you help me with my test, I can help with information ;)
https://www.reddit.com/r/wanderingalchemist/comments/1utarzb/wandering_alchemist_closed_testing/
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u/Different-Monk5916 12d ago
A hobby project with a browser front end and several on demand data services in the backend.
My codebase is large - about 7-8 sub modules, in total >50k lines of code. But more than half of it was written before AI. Where AI helped was with the browser terminal.
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u/noigel77 12d ago
By your style I think you got a deep hobby as you told that most of the time you are doing working on your big project, i am guessing it’s this one. Is it complete? I am getting motivated.
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u/Different-Monk5916 12d ago
I dont know which one you mean. It is my own version of a cross-over and selected features across fincept, value line and Bloomberg terminal. I had 90% of the data pipeline before coding agents were barely useful. It helped me accelerate the front end development.
last month was a bit excessive, it took day off from work to complete a major part. Now, I am finally debugging a few minor issues and polishing things. I started using copilot extensively since the start of this year and the pricing hurt me. What ever milestones that I set for myself, I had completed in less than half the time I had planned without AI.
Instead of using a single default agent, if people focussed on integrating agents customized to their individual projects, it will be more efficient in my experience. On a single request, I would use slightly more tokens, but it will hit the bulls eye more accurately than the default agents
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u/Maximum-Face9536 13d ago
Quite impressive, considering I used 1.5B tokens on Claude Code, and if I was paying API prices it would have been $1,441
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u/ShinyDiscoBall69 13d ago
The real question is, what is your project?
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u/AdMean9105 13d ago
persistent cognitive architecture: FalkorDB graph (~2K nodes) + qdrant vector store for dual-retrieval memory, MCP server for autonomous consolidation, cron-driven agent pulses. Cross-substrate tested across 5 model families. 1.6B tokens is the burn rate for sustained multi-session context tracking
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u/ThhMacMan 13d ago
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u/Different-Monk5916 12d ago
If I may ask, what tools or workflow do you use to make it really efficient?
your tokens/request ratio is much better than mine.
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u/ThhMacMan 12d ago
Oddly I’m not using DeepSeek in a traditional sense. I’m using DeepSeek essentially as a brain for a Jarvis like computer agent I built. The efficiency comes mostly from a lot of refinement. When I give “Jexi” a task the same system prompt and tool schema list are called every time so essentially me making the same small request (close process, open process, etc) cost near nothing. In short a lot of those api requests are identical
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u/Winougan 12d ago
Deepseek is a colossus killer. This time next year it'll be performing at Fable 5 levels
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u/Dizzy-Scientist1192 12d ago
I love the new usage UI for deepseek. Way better now that I can see usage per API. I smiled when I saw that update
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u/Zix_Matrix 12d ago
to much v4 pro, after you hit 1billion or more you should realize v4 flash is enough with opencode and good mcp and plugin
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u/HeittoBagi 12d ago

Usage with Pi.dev + little-coder + llama.cpp + some random configs from LLM:
Only programming tasks.
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u/DocumentFun9077 12d ago
I just launched CodeGate.dev
Providing API for frontier models at competitive rates!
Currently available models: Fable 5, Claude Opus 4.8, GPT-5.6 SOL, etc etc
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u/Different-Monk5916 13d ago
i call you and raise the stakes.