Rohmad Arifin | he/him
- 💻 Full-stack developer with a backend-ish focus
- 🤖 Interested in AI-native dev workflows, agent tooling, and developer experience
- 🛠️ Daily drivers: TypeScript/JavaScript, Nix, Neovim, OpenCode
- 👯 Open to collaborating on open source and AI/devtool projects
📊 This Week I Spent My Time On
🕑︎ Time Zone: Asia/Jakarta
💬 Programming Languages:
Rust 6 hrs 1 min ███████████░░░░░░░░░░░░░░ 43.85 %
Other 3 hrs 18 mins ██████░░░░░░░░░░░░░░░░░░░ 24.07 %
Nix 1 hr 24 mins ███░░░░░░░░░░░░░░░░░░░░░░ 10.25 %
Markdown 1 hr 10 mins ██░░░░░░░░░░░░░░░░░░░░░░░ 08.53 %
Bash 44 mins █░░░░░░░░░░░░░░░░░░░░░░░░ 05.40 %
🔥 Editors:
Neovim 12 hrs 51 mins ████████████████████████░ 95.28 %
OpenCode 32 mins █░░░░░░░░░░░░░░░░░░░░░░░░ 04.06 %
Claude Code 4 mins ░░░░░░░░░░░░░░░░░░░░░░░░░ 00.56 %
Vim 0 secs ░░░░░░░░░░░░░░░░░░░░░░░░░ 00.10 %
💻 Operating System:
WSL 13 hrs 29 mins █████████████████████████ 100.00 %
🤖 AI Coding This Week
⏱ AI Coding Time: 12 hrs 58 mins (96.11%)
✍️ 4,629 lines written by AI, 9 lines written by hand (99.81% AI-written)
🔤 4,305,940 Input Tokens, 1,166,458 Output Tokens
💵 $715.05 Estimated AI Cost This Week
🧠 17 AI Sessions, 72 AI Prompts
GLM 3,416 lines ██████████████████░░░░░░░ 72.79 %
DeepSeek 1,254 lines ███████░░░░░░░░░░░░░░░░░░ 26.72 %
Neovim 23 lines ░░░░░░░░░░░░░░░░░░░░░░░░░ 00.49 %
🔎 AI Coding Insights:
🤖 AI-Driven — 99.81% of written lines came from AI
📄 Detailed Prompter — average 1,255 characters per prompt
🔁 Iterative Prompter — average 4 prompts per session
🚀 High AI Trust — 0.43% of changed lines were hand-edited
I Mostly Code in JavaScript
JavaScript 63 repos █████████░░░░░░░░░░░░░░░░ 37.95 %
TypeScript 47 repos ███████░░░░░░░░░░░░░░░░░░ 28.31 %
Rust 3 repos ░░░░░░░░░░░░░░░░░░░░░░░░░ 01.81 %
Java 3 repos ░░░░░░░░░░░░░░░░░░░░░░░░░ 01.81 %
Shell 1 repo ░░░░░░░░░░░░░░░░░░░░░░░░░ 00.60 %
Last Updated on 11/11/2026 08:42:54 UTC
These Readme stats are generated using github action awesome-readme-stats
NOTE: Top languages does not indicate my skill level or anything like that. It is just a metric of which languages have been hosted by me on GitHub based on the usage across repositories. There are others which I haven't put up on GitHub.