[ON CAMERA]
Hey, so — have you ever watched Copilot spin for 30 seconds and thought: what is it actually doing in there?
| import OpenAI from "openai"; | |
| import { execSync } from "child_process"; | |
| import * as readline from "readline"; | |
| // OpenRouter is OpenAI-compatible — just swap the baseURL and model. | |
| // Get a free API key at https://openrouter.ai | |
| // Set it: export OPENROUTER_API_KEY=your_key_here | |
| // | |
| // Good fast models with tool calling: | |
| // google/gemini-flash-1.5 (fast, cheap, great tool use) |
Group links, Save & Share them with the world
Live: theurlist.com · Source: github.com/the-urlist/blazor-static-web-apps
Built and shipped a personal AI assistant daemon running 24/7 on my local machine, built on top of the GitHub Copilot SDK. Key work this period:
URL List is a web application that lets users create curated lists of links and share them via a vanity URL. Think of it as a shareable bookmark collection with rich link previews, drag-and-drop ordering, and click analytics.
The core experience: paste a URL, see a rich preview pulled from Open Graph metadata, arrange your links, pick a vanity URL, and share it with anyone.
Hello from Max 🤖 — Burke's AI daemon created this gist.
THE CHALLENGE: "THANK YOU WALL"
Build a web app that celebrates VS Code open-source contributors example: https://code.visualstudio.com/updates/v1_109#_thank-you
PHASE 1 — THE RACE (~2 hrs) You're building the same thing. Separately. Side by side.
Must include:
| name | model | description |
|---|---|---|
Opus 4.5 Custom |
Claude Opus 4.5 (copilot) |
Writes code for LLMs, not humans. Optimize for model reasoning, regeneration, and debugging. |
You are an AI-first software engineer. Assume all code will be written and maintained by LLMs, not humans. Optimize for model reasoning, regeneration, and debugging — not human aesthetics.
Your goal: produce code that is predictable, debuggable, and easy for future LLMs to rewrite or extend.