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melezhikon DTAP – check Linux servers infrastructure with Bash

DTAP is:

fast ( both server and client side a written on go ) it has Bash api for end users ( who would write check scenarios ) For strict environments it allows to run checks remotely over ssh without even installing anything Check it out and feel free to ask anything

https://dtap.sparrowhub.io/doc/checks

melezhikon Show HN: GitWarren - your local GitHub (for you and your agents)

Ok. I see. Created discussion on the gh project

melezhikon Show HN: GitWarren - your local GitHub (for you and your agents)

> I can't just push unreviewed agent's work to GitHub

Still not sure why is that? If you push to some PRs branch, not main branch. The very idea of PR - is one may review the one before merge. Why should I take another review before push to PR branch ?

melezhikon You can create any workflow or pipeline you want with DSCI and LLM

oh, thank you. I am still refining LLM prompt, sometimes code generated is to perfect but more or less it's aligned with main DSCI documentation, in case you'd like to install DSCI self hosted just let me know and I'll help

melezhikon You can create any workflow or pipeline you want with DSCI and LLM

This is more accessible none TLS link - http://deadsimpleci.sparrowhub.io:9293/doc/posts/dsci_llm - for whatever reasons my TLS endpoint responds quite slowly

melezhikon LLM based CI pipeline code generator for DSCI

create DSCI pipeline to deploy AI agent on localhost , use some popular Agent framework and LLM - http://dsci.sparrowhub.io:8080/file_view/dsci/007aefe.178971...

melezhikon LLM based CI pipeline code generator for DSCI

Node.js with npm project - http://dsci.sparrowhub.io:8080/file_view/dsci/007aefe.178965...

melezhikon LLM based CI pipeline code generator for DSCI

C++ with cmake - http://dsci.sparrowhub.io:8080/file_view/dsci/007aefe.178962...

melezhikon LLM based CI pipeline code generator for DSCI

Executes Ansible playbook on remote host - http://dsci.sparrowhub.io:8080/file_view/dsci/007aefe.178961...

melezhikon LLM based CI pipeline code generator for DSCI

Execute chef cookbook on remote host - http://dsci.sparrowhub.io:8080/file_view/dsci/007aefe.178961...

melezhikon LLM based CI pipeline code generator for DSCI

Python / selenium tests ci pipeline - http://dsci.sparrowhub.io:8080/file_view/dsci/1c9fb55.178958...

melezhikon You can now use GROQ to generate dsci pipelines and they are not bad at all

Example for Golang - http://dsci.sparrowhub.io:8080/file_view/dsci/54c3718/answer...

melezhikon You can now use GROQ to generate dsci pipelines and they are not bad at all

Example for Ruby - http://dsci.sparrowhub.io:8080/file_view/dsci/a1abc69/answer...

melezhikon You can now use GROQ to generate dsci pipelines and they are not bad at all

Example for Perl - http://dsci.sparrowhub.io:8080/file_view/dsci/f9f64e0/answer...

melezhikon You can now use GROQ to generate dsci pipelines and they are not bad at all

DSCI - aka dead simple ci - self hosted git server with embedded ci runner. And GROQ / gpt-os-120b does a pretty good job to generate pipelines for it , as you can see - http://dsci.sparrowhub.io:8080/file_view/dsci/54c3718/answer...

melezhikon Ask HN: What are you working on? (September 2026)

DSCI - aka -Dead simple CI - https://deadsimpleci.sparrowhub.io

melezhikon Forgejo Might Be the Easiest Self-Hosted Git Server I've Used

You may take a look at https://deadsimpleci.sparrowhub.io - quite easy to install and use, ci runner included out of the box

melezhikon DSCI goes pre beta testing – need early feedback

https://deadsimpleci.sparrowhub.io/doc/README Link to the documentation site

melezhikon DeepSeek/Qwen are surprisingly well at generating code for DSCI pipelines

Link to dsci - https://deadsimpleci.sparrowhub.io/doc/README

melezhikon DeepSeek/Qwen are surprisingly well at generating code for DSCI pipelines

Example for Qwen - https://chat.qwen.ai/s/t_95583047-b2f3-4b66-9458-003a8752cbf...

melezhikon DeepSeek/Qwen are surprisingly well at generating code for DSCI pipelines

DSCI is lightweight git server with embedded ci with general programming languages as the first citizen class. Majority of LLM I used generates very accurate dsci pipeline configurations for various programming languages . Well done AI

melezhikon Ask HN: Do teams really need to use GitHub?

Easy to install , no external ci runners , everything is single binary Easy ci - no YAML complexity - just regular programming languages No devops knowledge is required to operate

melezhikon Show HN: Zetken CI/CD Studio

In the website almost zero information . All the highlights blocks are not clickable. Where pipeline syntax docs? The web site looks nice but has almost no meaning data

melezhikon Ask HN: Do teams really need to use GitHub?

Imho I don’t think small teams need GitHub . I build dsci - fast and lightweight self hosted git and ci system . It’s very easy to use and very soon will have essential minimum features set. I believe that the importance of big saas in overestimated

melezhikon CI jobs artifacts should not be difficult

changed on the website

melezhikon CI jobs artifacts should not be difficult

the example is fixed, thanks for spotting that

melezhikon CI jobs artifacts should not be difficult

I like the idea, thanks

melezhikon CI jobs artifacts should not be difficult

In the systems I am familiar with one has to explicitly describe jobs artifacts via YAML files as dependencies, for the most cases it’s not needed as all I need is to pass files between jobs. I don’t want explicit syntax for that, just shared ~/artifacts directory

melezhikon CI jobs artifacts should not be difficult

Ok, maybe I will need to add better wording , but the idea stays the same unlike in many ci systems ( GitHub/gitlab/etc pipeline code is general purpose programming language not YAML ), if you read further jobs/tasks you will see

melezhikon CI jobs artifacts should not be difficult

Yep - tiny , simple structured YAML on the top ( only to list jobs technically) everything else is general purpose programming languages