justinyanme

agnoster.zsh-theme

A ZSH theme optimized for people who use:

• Solarized
• Git
• Unicode-compatible fonts and terminals (I use iTerm2 + Menlo)

For Mac users, I highly recommend iTerm 2 + Solarized Dark

justinyanme

### Keybase proof

I hereby claim:

  * I am justinyanme on github.
  * I am mapleshadow (https://keybase.io/mapleshadow) on keybase.
  * I have a public key ASCIqso9qKZLJCfWQGemIdIv3wLqMtKQKDSsB41qzW1Udwo

To claim this, I am signing this object:

justinyanme

on alfred_script(q)
	if ((q as string) is equal to "po") then
		tell application "JustFocus"
			launch
			start pomodoro
		end tell
	else if ((q as string) is equal to "sb") then
		tell application "JustFocus"
			launch
			short break

justinyanme

package main

import (
	"fmt"
	"reflect"
	"strings"
)

type TestData struct {
	ID    int `tag1:"Tag1" tag2:"Tag2"`

justinyanme

// Script I used for this newsletter issue: 
// 1. Save the html page from https://www.applemusic.info/
// 2. run `npm install`
// 3. run `node index.js`
// 4. check `out.json`

const fs = require("fs");
const cheerio = require("cheerio");
const _ = require("lodash");

justinyanme

import SwiftUI
import AppKit

extension View {
    public func inject<SomeView>(_ view: SomeView) -> some View where SomeView: View {
        overlay(view.frame(width: 0, height: 0))
    }
    
    func getWindow(window: @escaping (_ window: NSWindow?) -> Void) -> some View {

justinyanme

# brew install figlet cowsay lolcat coreutils fortune

echo "Justin" | figlet -f starwars | lolcat --animate -s 1000
fortune -s | cowsay -f  $(cd /opt/homebrew/Cellar/cowsay/3.04_1/share/cows && ls *.cow | shuf -n1) | lolcat --animate -s 1000

justinyanme

Plan: Add OpenAI-Compatible Chat Completions Endpoint to just-gemini

Context

Goal: Make just-gemini usable as an LLM backend by any OpenAI-compatible client (including justbot's future subagent system).

Approach: Add standard OpenAI-compatible POST /v1/chat/completions (streaming SSE) and GET /v1/models endpoints on top of the existing session-based architecture. This is the most widely supported LLM API format — any client that speaks OpenAI can use just-gemini without custom integration code.

Target OpenAI format:

• POST /v1/chat/completions with { model, messages, stream: true, max_tokens? }