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DeepSeek Harness developer preview

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Re: DeepSeek Harness developer preview

#141

Post by vatsachak »

tianyicui wrote: post #119

Hi I'm one of the authors of DeepSeek Harness. It's just an early developer preview version we're presenting in MIT license currently. Expect lots of rough edges and compatibility-breaking changes. Any feedback and suggestions are more than welcome!

Do you use deepseek models to improve deepseek training and inference?

Re: DeepSeek Harness developer preview

#142

Post by eglintondust »

jaapz wrote: post #54
eglintondust wrote: post #42

Earlier quoted context omitted.

This line of thinking I feel like assumes it's the only program running on your computer. Using less of my CPU and memory means my computer can do more things in parallel, or even run more instances of the harness. My laptop is sweating when I got 5+ claude code sessions running.

Is it actually claude using those CPU cycles though, or the agent running test suites and what not? Honestly I would not be surprised when it actually IS claude using those resources... It is very clearly vibed

I haven't monitored CPU usage so closely, but seems to get heavy with basic tool calls and editing. Memory usage definitely is out of hand, have an idle session right now eating 500MB

Re: DeepSeek Harness developer preview

#143

Post by vhantz »

There is such a clear lack of innovation drive in this field. Every lab just copies what the other does. One of the most baffling things to me is how the once-upon-a-time good developer instinct to make everything reusable, testable, and deterministic is just getting lost into a sea of markdown begging a language model to please act a certain way. For example this repository has a "skill" definition that consists in instructing the LLM to run pre-commit checks. But we have solved this a long time ago, it's called git hooks. I do not understand why they don't simply wire those instructions as testable, reusable, deterministic code routines in the git tool call itself. It's like everybody is taking their brains out and putting it in a drawer.

Re: DeepSeek Harness developer preview

#144

Post by dawnerd »

vhantz wrote: post #143

There is such a clear lack of innovation drive in this field. Every lab just copies what the other does. One of the most baffling things to me is how the once-upon-a-time good developer instinct to make everything reusable, testable, and deterministic is just getting lost into a sea of markdown begging a language model to please act a certain way. For example this repository has a "skill" definition that consists in…

Gotta burn the tokens somehow! There’s a lot of these solved problems that devs have forgotten exist all in the name of using an llm for sake of using it.

Re: DeepSeek Harness developer preview

#145

Post by Kuyawa »

47mb downloaded, 1.5gb after build, wtf?

I consider my own coding agent bloated at just 1mb (yes 1mb) because it uses postgresql package as db tool, and it works wonders.

* edit 1: Upon further scrutiny, 35 dependencies make up for 1.4gb, what they are for? I don't even see postgres in there so I guess that would be another plugin. 1.5gb of basic functionality?

* edit 2: Most of the time I use the terminal but also developed a web ui for my agent [1] and it is only 20mb with postgres, git, web, file tools, etc I definitely want to know why the bloat

[1] https://github.com/kuyawa/mecha-ui

Re: DeepSeek Harness developer preview

#147

Post by satonakamoto »

satonakamoto wrote: post #139

https://github.com/bobleer/deepseek-harness-gui Shit! They are fast!

"The Chronicle of DeepSeek Harness Development: Sixty-Five Days from Internal Initiation to Overnight Viral Success" https://dsh-chronicle-duv8yxo8n-tsonglews-projects.vercel.ap...

Re: DeepSeek Harness developer preview

#148

Post by vatsachak »

vhantz wrote: post #143

There is such a clear lack of innovation drive in this field. Every lab just copies what the other does. One of the most baffling things to me is how the once-upon-a-time good developer instinct to make everything reusable, testable, and deterministic is just getting lost into a sea of markdown begging a language model to please act a certain way. For example this repository has a "skill" definition that consists in…

Yeah. LLMs have their place and they are definitely super human at short length tasks, but I feel like a large part of the "AI boom" is trying to get the computer to do something in a worse way then it already could.
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