DeepSeek Harness developer preview

Posted by bjin 5 hours ago

418 points | 197 commentspage 2

nycdatasci 2 hours ago|

Everything is a plugin.

"this, like all other problems in Computer Science, can be solved by one more level of indirection." Roger Needham, circa ~1981

hmokiguess 4 hours ago||

Tangential but, are there benchmarks out there on how languages affect latent spaces and performance of these models?

This other day I was looking at that “caveman” skill, and was shocked to see it evolved to become a company, and, in one of its modes, the highest form of compression seems to be “Wenyan” which is Classical Chinese.

Should I get started on learning Chinese?

wongarsu 3 hours ago||

There are lots of papers on the topic. I think the best summary is "it's complicated". Typically models perform slightly better in English, typically best in either professional English or very rude English. Though this varies by model, not all react well to rude English, and I wouldn't be surprised if Chinese was on the rise

Also, "less tokens" is not always straight forward. I doubt it's a coincidence that the cavemen skill (or now proxy, I guess) has lots of numbers, but not a single benchmark on model performance or actual per-task token savings

For example one paper I remember found that without CoT, just stating your prompt twice increases model performance. With CoT, the same function is served by the CoT restating the important parts of your question. Something about which tokens can affect which other tokens in attention implementations

hmokiguess 3 hours ago||

Very interesting, can you link some of the papers if you don't mind? I'm curious about this space.

I'm finding more and more there seem to be sort of niche prompting skills that are important to be aware of

1899-12-30 2 hours ago||

It's interesting to note that the newer LLMs like deepseek v4 or kimi k3 basically use caveman mode natively for their thinking traces. Lot word dropping when thinking.

Kuyawa 2 hours ago||

I like it, it is beautiful, specially the trajectory tabs, very explicit, detailed on what it does. I like the plugin architecture, I wish they were sorted alphabetically so I don't waste hours looking for a plugin in a sea of unordered text.

9 out of 10

Edit: After creating an app it works as expected, no complains, lots to celebrate, being version 0.1 there is room for more surprises but right now it's the perfect tool for those initiating in agentic coding with one of the most affordable and powerful AI. It is really wonderful.

flaburgan 4 hours ago||

Is there a comparison of harness somewhere? Like, the same prompt to the same model, but with different harnesses, and comparing the quality of the results. I am trying to run as much as possible only on free software, so I always only used Zed plugged with anthropic models, but I am wondering what is the quality of Zed harness compared to the one of claude code or pi or others... I would love some feedback.

schafberg 3 hours ago||

I want to have the same thing, but tbh it's too complicated with so many configuratios and plugins. I doubt if any comparison of harness make sense now and can be applied in real coding works.

alienbaby 1 hour ago||

Can't that be sidestepped by comparing harnesses 'out of the box'

bobleer 3 hours ago||

[flagged]

mring33621 3 hours ago||

I just installed DeepSeek Harness with the latest Bun version and am using it with a local 9B, speculative decoding Qwen 3.x variant, running in llama.cpp and it works GREAT for small python projects, so far.

It was very easy to connect the harness to the local model and it seems to run quite fast, compared to other harnesses that I have tried.

mring33621 1 hour ago|

Sadly, it doesn't ship with support for "dsh --profile acp"

addozhang 2 hours ago||

I personally really like products with plugin systems: a stable, cohesive co with a rich, extensible ecosystem. You can create products that fiyour exact needs, and even if there's no plugin that meets your requirements, you can build it yourself. At least there's vibe coding.

Just like Obsidian, there's also hot loading.

Gecko4072 4 hours ago||

Bad timing: https://xcancel.com/deepseek_ai/status/2087864589895798968

weird-eye-issue 4 hours ago|

Why is this bad timing?

Fuzzwah 3 hours ago||

[dead]

jbellis 4 hours ago||

And that's it, that's the last lab releasing models worth coding with that didn't have a first party harness that its models are trained to use.

pyrophane 4 hours ago|

I'm curious what peolle are finding with first party vs 3red party harnesses for coding.

Do the first party harnesses really have an advantage when paired with the maker's model?

dsrtslnd23 4 hours ago||

I hear that often but to me it does not feel like it. I built my own framework around pi.dev harness and run all kind of different LLMs with it. Sometimes also use the vendor harnesses and they don't feel better adapted.

marstall 4 hours ago|||

i've been using Cascade (a third party harness) since the 3 week period in 2023 when it was hot. I think it's called something else now. Devin? Things got confusing there for a second and I stopped paying attention.

Anyway very happy with it, I use it as a plugin to RubyMine and Webstorm.

One of the primary advantages is being able to choose your model - and it often has free deals for newer models that are running promotions. Whenever I switch to Claude Code it seems clunky. Would rather use Claude with Cascade.

softwaredoug 4 hours ago||

I use OpenCode and I like knowing the direct token spend for doing tasks. A healthy repo can get a lot done with Luna + fresh context. Then I can spend $1-$2 a day when I'm doing development, and costwise honestly it beats a $200 / month plan.

I also just do a bit of hand-coding to guide the agent still.

I worry the $200 / month plans are loss-leaders encouraging you to maximize token usage to churn out slop, rather than thoughtfully use coding agents in a way that still engages your brain, and produces good software.

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