Riced Linux workspace showing Django code, ASCII art and a custom productivity dashboard
Description
The composite image has two horizontal panels of a heavily-customized Linux desktop set against a painted lakeside wallpaper. In the upper panel, a semi-transparent tiling window manager shows a terminal-based code editor with a file named “views.py”; the Python snippet imports “from django.shortcuts import render, redirect”, references “settings.ALLOWED_HOSTS”, and defines functions like “tweet_create_view”. Beside it, another terminal runs a file manager with an ASCII-art face, the line “[37 files, 76K]”, and a real-time bar visualizer. System bars display CPU, battery, volume, date “26.08.2020” and workspace indicators. The lower panel replaces the terminals with a Conky-style dashboard: search and power buttons, sliders for volume/brightness, social icons (GitHub, LinkedIn, Discord), a quote card reading “To be considered successful, a woman must be much better at her job than a man would have to be. Fortunately, this isn’t difficult.”, a cartoon avatar, a calendar for August 2020, and a usage stat “4 hours, 27 minutes”. The scene showcases terminal tooling, dot-file theming, and the craftsmanship many developers invest in their daily DX setup
Comments
6Comment deleted
I’ve spent more hours ricing i3 so the transparency perfectly frames “ALLOWED_HOSTS = ['*']” than I ever will shaving those N+1 queries - latency doesn’t show up in screenshots
Spending 48 hours perfecting your dotfiles and rice setup just to render Django forms that could've been built with Bootstrap in 5 minutes - but at least your ASCII bear appreciates the commitment to unnecessary complexity
When your Linux rice is so meticulously crafted that you spend more time perfecting your ASCII art and color schemes than actually writing the Django views visible in your terminal - but hey, at least your 768MB Python process is running with style. The real technical debt here is the 4 hours and 27 minutes you've been 'monitoring system resources' instead of shipping that feature
Spent 4h27m perfecting i3 + polybar; shipped four lines of TweetCreateView. The only thing in prod is the dotfiles repo - observability 10/10, feature velocity TBD
That moment when your i3/polybar/neovim stack is a distributed system, but the whole product is two Django views - turns out the real microservice was my dotfiles
Neovim rice so perfect, the only blocking call is 'consider eloping' amid non-blocking bot handlers