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Searge/README.md

Hi, I'm Searge Vulcan salute

DevOps Engineer at Smile Ukraine

Stand With Ukraine @Searge@hachyderm.io

# %%
"""Creating a class for keeping track of knowledge."""
import json
from dataclasses import asdict, make_dataclass

from rich import print

person = make_dataclass(
    "Person",
    [
        ("nick", str),
        ("name", str),
        ("pipelines", list[str]),
        ("web_services", list[str]),
        ("languages", list[str]),
        ("databases", list[str]),
        ("misc", list[str]),
        ("ongoing", list[str]),
    ],
    namespace={"to_json": lambda self: json.dumps(asdict(self), indent=4)},
)

# %%
# @title Initializing classes and creating lists
if __name__ == "__main__":
    pipelines    = ['GitLab Ci', 'GitHub Actions', 'AWS CodePipeline', 'Jenkins']
    web_services = ['nginx', 'apache', 'varnish', 'fastly', 'elastic', 'solr']
    languages    = ['YAML', 'Bash', 'Python', 'JS', 'Web']
    databases    = ['SQLite', 'PostgreSQL', 'Percona', 'DynamoDB', 'Redis']
    misc         = ['Ansible', 'Linux', 'LXC', 'Docker', 'Terraform', 'AWS']
    ongoing      = ['LPIC', 'Full Stack Web', 'AWS']

    me = person('@Searge', 'Sergij Boremchuk',
                pipelines, web_services, languages, databases, misc, ongoing)

    print(me.to_json())

# %%

Thanks @rednafi for idea of script πŸ˜‰

Statistics

Skyline for 2021

Visitors

Code Time

AI Code Time

I'm an Early 🐀

🌞 Morning                3148 commits        β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   26.11 % 
πŸŒ† Daytime                5424 commits        β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   44.99 % 
πŸŒƒ Evening                3167 commits        β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   26.27 % 
πŸŒ™ Night                  318 commits         β–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   02.64 % 

πŸ“Š This Week I Spent My Time On

πŸ•‘οΈŽ Time Zone: Europe/Kyiv

πŸ’¬ Programming Languages: 
YAML                     6 hrs 45 mins       β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   24.28 % 
Org                      5 hrs 54 mins       β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   21.20 % 
Markdown                 5 hrs 49 mins       β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   20.88 % 
Other                    4 hrs 36 mins       β–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   16.55 % 
Bash                     1 hr 30 mins        β–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   05.40 % 

πŸ”₯ Editors: 
Claude Code              23 hrs 26 mins      β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘   84.09 % 
Zed                      2 hrs 42 mins       β–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   09.73 % 
Emacs                    59 mins             β–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   03.56 % 
Zsh                      28 mins             β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   01.71 % 
Vim                      12 mins             β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   00.76 % 

πŸ’» Operating System: 
Linux                    27 hrs 52 mins      β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ   100.00 % 

πŸ€– AI Coding This Week

⏱ AI Coding Time: 25 hrs 29 mins (91.46%)

✍️ 6,355 lines written by AI, 120 lines written by hand (98.15% AI-written)

πŸ”€ 9,471,775 Input Tokens, 1,326,034 Output Tokens

πŸ’΅ $384.47 Estimated AI Cost This Week

🧠 13 AI Sessions, 259 AI Prompts

Opus                     4,486 lines         β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   68.72 % 
Fable                    1,936 lines         β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   29.66 % 
GPT                      106 lines           β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   01.62 % 
Codex-Exec               0 lines             β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   00.00 % 

πŸ”Ž AI Coding Insights:
πŸ€– AI-Driven β€” 98.15% of written lines came from AI
πŸ“ Concise Prompter β€” average 394 characters per prompt
πŸ” Iterative Prompter β€” average 20 prompts per session
πŸš€ High AI Trust β€” 2.08% of changed lines were hand-edited

Last Updated on 20/09/2026 02:13:51 UTC

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