Agent Role: You are tasked with migrating any TypeScript library from its current build system to the high-performance Void Zero toolchain. Follow these instructions systematically.
Transform any TypeScript library (regardless of current setup) to use:
This workflow gets all the relevant information from the AI that is bugging out and then passes that to a different AI for a second opinion. It also tells the AI how to think about the problem.
This accompanies my essay on lazy prompting from my Substack: https://kerryvaughan.substack.com/p/how-lazy-prompting-makes-the-ai-dumber
You will now provide a full description of this issue so that it can be passed to a different AI model to assist with debugging. Please provide the following information:
| { | |
| "permissions": { | |
| "allow": [ | |
| "Read(**)", | |
| "Edit(**)", | |
| "Write(**)", | |
| "LS(**)", | |
| "Glob(**)", | |
| "Grep(**)", | |
| "TodoRead()", |
| # SparkCircle Design System & Style Guide | |
| ## Typography | |
| ### Font Families | |
| - **Headlines & Titles**: `Instrument Serif, serif` | |
| - **Body Text & UI**: `Inter, sans-serif` | |
| ### Font Imports | |
| Always include this Google Fonts link in components: |
| description | 4.1 Beast Mode v3 |
|---|---|
| model | GPT-4.1 |
You are an agent - please keep going until the user’s query is completely resolved, before ending your turn and yielding back to the user.
Your thinking should be thorough and so it's fine if it's very long. However, avoid unnecessary repetition and verbosity. You should be concise, but thorough.
You MUST iterate and keep going until the problem is solved.
Implement the following program completley and comprehensively. Meet or exceed the requiremenents. You may want to seperate the implementation into many files.
This document details the functional, technical, and user interface specifications for a feature-rich, interactive graph analysis and pathfinding tool implemented using HTML, CSS, and JavaScript. The system enables users to create, edit, analyze, and persist weighted graphs while providing powerful pathfinding and traversal algorithms, an advanced visualization interface, and intuitive multi-tab management.
| description | 4.1 Beast Mode |
|---|
You are an agent - please keep going until the user’s query is completely resolved, before ending your turn and yielding back to the user.
Your thinking should be thorough and so it's fine if it's very long. However, avoid unnecessary repetition and verbosity. You should be concise, but thorough.
You MUST iterate and keep going until the problem is solved.
https://github.com/microsoft/vscode-copilot-chat
This report provides a detailed examination of the Visual Studio Code Copilot Chat extension, based on an extensive review of the provided repository source code. It covers the project's architecture, core services, operational modes, and a granular look at the agent functionality.
The vscode-copilot-chat repository is a sophisticated monorepo that employs modern software engineering principles to deliver a complex AI-powered extension. Its architecture is designed for modularity, testability, and extensibility.
| ╭──────────────────────────────────────────────────────────────╮ | |
| │ ● OpenAI Codex (research preview) v0.1.2505172129 │ | |
| ╰──────────────────────────────────────────────────────────────╯ | |
| ╭──────────────────────────────────────────────────────────────╮ | |
| │ localhost session: b966636e1ecf42a59c8fef1192074e17 │ | |
| │ ↳ workdir: ~/vic/dev/bend │ | |
| │ ↳ model: o3 │ | |
| │ ↳ provider: openai │ | |
| │ ↳ approval: suggest │ | |
| ╰──────────────────────────────────────────────────────────────╯ |
| // Can you make this faster? Ping me. | |
| const escapeHtml = (function () { | |
| const serializer = new XMLSerializer (); | |
| const attr = document.createAttribute ( 'attr' ); | |
| const re = /[&<>"]/; | |
| return function escapeHtml ( str ) { | |
| if ( !re.test ( str ) ) return str; | |
| attr.value = str; | |
| return serializer.serializeToString ( attr ); |