356 lines
12 KiB
Markdown
356 lines
12 KiB
Markdown
# Goose Super - Current State Analysis & Enhancement Plan
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## Executive Summary
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**Goose Super** is currently a functional Electron-based AI coding assistant that combines Qwen LLM with basic computer automation. However, to achieve the vision of a **noob-proof, all-in-one AI coding environment** (like Lovable but with full computer control), significant enhancements are needed.
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---
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## Current State Assessment
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### ✅ What Works Today
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| Feature | Status | File |
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|---------|--------|------|
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| **Qwen LLM Integration** | ✅ Working | `bin/qwen-bridge.mjs`, `bin/goose-launch.mjs` |
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| **Electron GUI** | ✅ Working | `bin/goose-electron-app/main.cjs` |
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| **Chat Interface** | ✅ Working | `bin/goose-electron-app/renderer.js` (1970 lines) |
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| **Screenshots** | ✅ Working | `computer-use.cjs` - PowerShell capture |
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| **Mouse Click** | ✅ Working | PowerShell mouse_event simulation |
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| **Keyboard Input** | ✅ Working | SendKeys via PowerShell |
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| **Key Combinations** | ✅ Working | Ctrl+C, Alt+Tab, etc. |
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| **Shell Commands** | ✅ Working | `exec()` with timeout |
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| **Window Listing** | ✅ Working | Get-Process filtering |
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| **Window Focus** | ✅ Working | SetForegroundWindow via WinAPI |
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| **App Opening** | ✅ Working | Common apps mapped |
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| **Preview Panel** | ✅ Working | Webview for HTML preview |
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| **Playwright Bridge** | ⚠️ Basic | `playwright-bridge.js` - navigate/click/type |
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| **AI Suggestions** | ✅ Working | Pre-defined prompt cards |
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| **Terminal Panel** | ✅ Working | Command execution UI |
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### ❌ What's Missing (vs. Goal)
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| Gap | Impact | Priority |
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|-----|--------|----------|
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| **No Vision/OCR Element Finding** | Can't "see" and click buttons by name | 🔴 CRITICAL |
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| **No Self-Correction Loop** | Doesn't verify if actions worked | 🔴 CRITICAL |
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| **No Vibe Coding Flow** | Can't create/preview apps like Lovable | 🔴 CRITICAL |
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| **No Project/File Management** | No file tree, save/load projects | 🟠 HIGH |
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| **No Embedded IDE** | No Monaco editor, syntax highlighting | 🟠 HIGH |
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| **No Server/SSH Management** | Can't deploy/manage remote servers | 🟡 MEDIUM |
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| **No Git Integration** | Can't commit/push/pull | 🟡 MEDIUM |
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| **Browser Automation is Surface-Level** | No DOM inspection, smart selectors | 🟡 MEDIUM |
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| **No Memory/Context Persistence** | Forgets between sessions | 🟡 MEDIUM |
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---
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## Reference Implementations Deep-Dive
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### 1. Windows-Use (CursorTouch)
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**Best for: Desktop automation without computer vision**
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```
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windows_use/
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├── agent/ # Agent orchestration
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├── llms/ # LLM providers (Ollama, Google, etc.)
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├── messages/ # Conversation handling
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├── tool/ # Tool definitions
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└── telemetry/ # Analytics
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```
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**Key Innovations:**
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- Uses **UIAutomation** (Windows Accessibility API) to find elements by name/role
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- **PyAutoGUI** for mouse/keyboard (more reliable than raw SendKeys)
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- Works with **any LLM** (Qwen, Gemini, Ollama) - not tied to specific models
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- **Grounding** - Shows how it "sees" the screen with labeled elements
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**What to Take:**
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- UIAutomation for element discovery (instead of blind x,y clicking)
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- Agent loop pattern with tool execution
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- LLM abstraction layer
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---
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### 2. Browser-Use
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**Best for: Comprehensive web automation**
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```
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browser_use/
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├── actor/ # Action execution
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├── agent/ # Agent service
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├── browser/ # Playwright wrapper
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├── code_use/ # Code execution sandbox
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├── controller/ # Action controller
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├── dom/ # DOM manipulation & analysis
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├── filesystem/ # File operations
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├── llm/ # LLM integrations
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├── mcp/ # Model Context Protocol
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├── sandbox/ # Safe execution environment
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├── skills/ # Reusable action patterns
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└── tools/ # Custom tool definitions
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```
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**Key Innovations:**
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- **Smart DOM analysis** - extracts meaningful selectors
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- **Multi-tab support** with session persistence
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- **Custom tools API** - `@tools.action(description='...')`
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- **Sandbox execution** for safe code running
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- **Cloud deployment** option
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- **Form filling with validation**
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- **CAPTCHA handling** (via stealth browsers)
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**What to Take:**
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- DOM extraction and smart selector logic
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- Tools/actions decorator pattern
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- Multi-tab browser session management
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- Sandbox for safe code execution
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---
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### 3. Open-Interface
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**Best for: Simple LLM → Screenshot → Execute loop**
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```
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app/
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├── core.py # Main orchestration loop
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├── interpreter.py # Parse LLM responses
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├── llm.py # LLM communication
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├── ui.py # Tkinter UI (18KB)
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└── utils/ # Helpers
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```
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**Architecture:**
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```
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User Request → Screenshot → LLM → Parse Instructions → Execute → Repeat
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```
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**Key Innovations:**
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- **Course-correction** via screenshot feedback loop
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- **Stop button** + corner detection to interrupt
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- Simple, understandable architecture
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- Works across Windows/Mac/Linux
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**What to Take:**
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- The "screenshot → analyze → execute → verify" loop
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- Interrupt mechanisms (corner detection)
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- Cross-platform automation patterns
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---
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### 4. OpenCode TUI (sst/opencode)
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**Best for: Terminal-based IDE experience**
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```
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packages/
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├── core/ # Core logic
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├── tui/ # Terminal UI (Ink-based)
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├── lsp/ # Language Server Protocol
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└── ...
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```
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**Key Innovations:**
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- Uses **Bun** for speed
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- **LSP integration** for code intelligence
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- **SST** infrastructure for deployment
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- Beautiful TUI with Ink
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**What to Take:**
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- LSP integration for code completion/diagnostics
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- Bun for faster package management
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- TUI patterns (if we add TUI mode)
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---
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### 5. Mini-Agent (MiniMax)
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**Best for: Lightweight Python agent framework**
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```
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mini_agent/
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├── agent.py # Agent implementation
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├── tools.py # Tool definitions
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└── memory.py # Context management
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```
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**What to Take:**
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- Memory/context management patterns
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- Simple agent abstraction
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---
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## Gap Analysis: Current State vs. Noob-Proof Vision
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### 🎯 User Experience Goals
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| Goal | Current | Required |
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|------|---------|----------|
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| "Build me a website" | ❌ Can chat, can't create | ✅ One prompt → working preview |
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| "Click the Settings button" | ⚠️ Blind x,y click | ✅ Find element by name/OCR |
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| "Deploy this to my server" | ❌ No SSH | ✅ Connect, upload, run commands |
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| "Open my last project" | ❌ No persistence | ✅ Project save/load |
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| "Edit this file" | ❌ No editor | ✅ Monaco with syntax highlighting |
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| "Show me what you see" | ⚠️ Can screenshot | ✅ Annotated vision with element labels |
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---
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## Proposed Architecture
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### Layered Super-Powers
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```
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┌─────────────────────────────────────────────────────────────┐
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│ GOOSE SUPER UI │
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│ ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌────────┐ │
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│ │ Chat │ │ Preview │ │ Editor │ │ Browser │ │Terminal│ │
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│ │ Panel │ │ Panel │ │ Panel │ │ Panel │ │ Panel │ │
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│ └─────────┴─┴─────────┴─┴─────────┴─┴─────────┴─┴────────┘ │
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└─────────────────────────────────────────────────────────────┘
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│
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┌─────────────────────┼─────────────────────┐
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▼ ▼ ▼
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┌───────────────┐ ┌───────────────┐ ┌───────────────┐
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│ AI BRAIN │ │ EXECUTION │ │ CONTEXT │
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│ │ │ LAYER │ │ LAYER │
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│ • Qwen Bridge │ │ • Computer Use│ │ • Memory │
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│ • Planning │ │ • Browser Use │ │ • Projects │
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│ • Verification│ │ • Server Mgmt │ │ • Sessions │
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│ • Correction │ │ • File Ops │ │ • History │
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└───────────────┘ └───────────────┘ └───────────────┘
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```
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### Phase-by-Phase Enhancement
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#### Phase 1: Vision & Smart Automation
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**Make the AI truly "see" and interact reliably**
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1. **Add UIAutomation element discovery** (from Windows-Use)
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- Find buttons/inputs by name, not x,y
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- Label screenshot with element overlays
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2. **Implement verification loop** (from Open-Interface)
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- After each action, screenshot and verify success
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- Self-correct if needed
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3. **Enhanced computer-use.cjs**
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- Add `findElement(name)` using UIAutomation
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- Add `getElementsOnScreen()` for element listing
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- Add `clickElement(name)` for reliable interaction
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#### Phase 2: Vibe Coding Experience
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**Create apps from prompts like Lovable**
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1. **Embedded Monaco Editor**
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- File tree sidebar
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- Multi-tab editing
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- Syntax highlighting
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- Live error detection
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2. **Project System**
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- Create/save/load projects
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- Auto-scaffold HTML/CSS/JS
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- Template library
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3. **Live Preview Enhancement**
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- Hot reload on file save
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- Dev server auto-start (Vite integration)
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- Console output in UI
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#### Phase 3: Full Automation Power
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**Control everything**
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1. **Server Management**
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- SSH connection panel
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- Remote command execution
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- Log streaming
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- File upload/download
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2. **Browser Automation**
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- DOM inspection
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- Smart element selectors
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- Multi-tab support
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- Cookie/auth persistence
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3. **Git Integration**
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- Clone/commit/push
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- Branch management
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- Diff visualization
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#### Phase 4: Noob-Proof Polish
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**Make it intuitive for anyone**
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1. **Onboarding Wizard**
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- API key setup
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- Permissions check
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- Quick tutorial
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2. **AI Suggestions**
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- Context-aware suggestions
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- One-click actions
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- Visual tutorials
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3. **Error Recovery**
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- Smart retry
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- User-friendly error messages
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- Undo/redo history
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---
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## Technical Debt to Address
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| Issue | Risk | Fix |
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|-------|------|-----|
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| PowerShell scripts for automation | Slow, fragile | Use native Node.js (robotjs/nut.js) |
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| 1970-line renderer.js | Hard to maintain | Modularize into components |
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| No TypeScript | Type errors | Migrate to TypeScript |
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| No tests | Regressions | Add jest/playwright tests |
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| Hardcoded paths | Portability | Use config files |
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## Recommended Priorities
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### 🔴 Immediate (Week 1)
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1. Add UIAutomation element discovery
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2. Implement screenshot → verify loop
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3. Fix any existing bugs in computer-use
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### 🟠 Short-term (Week 2-3)
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4. Monaco Editor integration
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5. Project save/load system
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6. Enhanced preview with hot reload
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### 🟡 Medium-term (Week 4-6)
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7. SSH/Server management panel
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8. Git integration
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9. Browser DOM inspection
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### 🟢 Long-term (Week 7+)
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10. Onboarding wizard
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11. AI-driven auto-correction
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12. Multi-agent support
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---
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## Questions for User
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1. **Which LLMs to support?** Currently Qwen only - add OpenAI/Claude/Ollama?
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2. **Deployment target?** Windows only or also Mac/Linux?
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3. **Cloud features?** Should Goose have cloud sync/remote execution?
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4. **Monetization?** Any commercial plans affecting architecture?
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5. **Performance priority?** Speed vs. reliability trade-off?
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---
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## Summary
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Goose Super has a solid foundation but needs these critical additions to become "noob-proof":
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1. **Vision** - UIAutomation element discovery (not blind clicking)
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2. **Verification** - Screenshot → analyze → correct loop
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3. **IDE** - Monaco editor with project management
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4. **Server** - SSH/deployment capabilities
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5. **Polish** - Onboarding, error handling, undo/redo
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The reference repos provide excellent patterns to adopt. Windows-Use gives us UIAutomation. Browser-Use gives us smart DOM handling. Open-Interface gives us the verification loop. OpenCode gives us TUI patterns.
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**Next step recommendation:** Start with Phase 1 (Vision & Smart Automation) as it unblocks all other "noob-proof" features.
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