DevOps Engineer at Smile Ukraine
# %%
"""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 π
I'm an Early π€
π Morning 3169 commits βββββββββββββββββββββββββ 25.92 %
π Daytime 5523 commits βββββββββββββββββββββββββ 45.18 %
π Evening 3176 commits βββββββββββββββββββββββββ 25.98 %
π Night 356 commits βββββββββββββββββββββββββ 02.91 %
π This Week I Spent My Time On
ποΈ Time Zone: Europe/Kyiv
π¬ Programming Languages:
Markdown 9 hrs 39 mins βββββββββββββββββββββββββ 42.41 %
Org 4 hrs 39 mins βββββββββββββββββββββββββ 20.44 %
YAML 3 hrs 4 mins βββββββββββββββββββββββββ 13.51 %
Other 1 hr 29 mins βββββββββββββββββββββββββ 06.56 %
Python 53 mins βββββββββββββββββββββββββ 03.89 %
π₯ Editors:
Claude Code 16 hrs 16 mins βββββββββββββββββββββββββ 71.51 %
Zed 3 hrs 18 mins βββββββββββββββββββββββββ 14.54 %
Emacs 1 hr 34 mins βββββββββββββββββββββββββ 06.90 %
Codex Unknown 47 mins βββββββββββββββββββββββββ 03.50 %
Zsh 22 mins βββββββββββββββββββββββββ 01.65 %
π» Operating System:
Linux 22 hrs 45 mins βββββββββββββββββββββββββ 100.00 %
π€ AI Coding This Week
β± AI Coding Time: 20 hrs 15 mins (89.02%)
βοΈ 3,831 lines written by AI, 39 lines written by hand (98.99% AI-written)
π€ 11,556,001 Input Tokens, 1,088,253 Output Tokens
π΅ $289.06 Estimated AI Cost This Week
π§ 29 AI Sessions, 267 AI Prompts
Fable 2,476 lines βββββββββββββββββββββββββ 60.97 %
Opus 947 lines βββββββββββββββββββββββββ 23.32 %
GPT 638 lines βββββββββββββββββββββββββ 15.71 %
Codex-Exec 0 lines βββββββββββββββββββββββββ 00.00 %
Haiku 0 lines βββββββββββββββββββββββββ 00.00 %
π AI Coding Insights:
π€ AI-Driven β 98.99% of written lines came from AI
π Verbose Prompter β average 1,851 characters per prompt
π Iterative Prompter β average 9 prompts per session
π High AI Trust β 1.43% of changed lines were hand-edited
Last Updated on 30/08/2026 02:15:58 UTC







