Release v1.01 Enhanced: Vi Control, TUI Gen5, Core Stability

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# Goose Ultra V2 - Core Implementation Plan
**Mission**: Perfect the chat-to-code experience by building on the original Goose concept with world-class IDE integration and AI-native patterns.
---
## Phase 1: Core State Machine & Flow (Week 1)
### 1.1 State Machine Architecture
Implement the primary flow: `NoProject → IdeaCapture → Planning → Building → PreviewReady`
**Key States:**
- `NoProject`: Landing screen, awaiting user idea
- `IdeaCapture`: User describes their vision in natural language
- `Planning`: AI generates implementation blueprint with file structure
- `Building`: Code generation in progress with streaming feedback
- `PreviewReady`: Live preview + Monaco Editor available
- `Editing`: User actively modifying code in Monaco
**State Transitions:**
```typescript
type StateTransition = {
from: OrchestratorState;
to: OrchestratorState;
trigger: 'user_input' | 'ai_complete' | 'build_complete' | 'user_edit';
validator?: (context: Context) => boolean;
};
```
### 1.2 Orchestrator Pattern (from Goose)
**Source**: https://github.com/block/goose
**Learnings to integrate:**
1. **Agent Loop**: Goose uses a continuous agent loop with tool calling
2. **Session Management**: Persistent sessions with message history
3. **Tool Integration**: Structured tool calling pattern for file operations
4. **Error Recovery**: Graceful fallback when tools fail
**Implementation:**
```typescript
// orchestrator-v2.ts
export class GooseUltraOrchestrator {
private state: OrchestratorState;
private session: Session;
private aiProvider: QwenProvider;
async processUserIntent(input: string) {
// 1. Validate current state allows this transition
// 2. Send to AI with state context
// 3. Stream response with state updates
// 4. Transition to next state on completion
}
async executeStateTransition(transition: StateTransition) {
// Atomic state updates with rollback capability
}
}
```
---
## Phase 2: IDE Core - Monaco Integration (Week 1-2)
### 2.1 Monaco Editor Setup
**Source**: https://github.com/microsoft/vscode
**Core Features to Implement:**
1. **Syntax Highlighting**: Language-aware highlighting for HTML/CSS/JS
2. **IntelliSense**: Auto-completion based on file context
3. **Multi-File Support**: Tabbed interface for index.html, style.css, script.js
4. **Live Error Detection**: Real-time linting and validation
5. **Diff View**: Show AI-generated changes vs. current code
**Implementation:**
```typescript
// components/MonacoEditor.tsx
import * as monaco from 'monaco-editor';
export const CodeEditor = () => {
const [files, setFiles] = useState<Record<string, string>>({});
const [activeFile, setActiveFile] = useState<string>('index.html');
useEffect(() => {
const editor = monaco.editor.create(editorRef.current, {
value: files[activeFile],
language: getLanguage(activeFile),
theme: 'goose-ultra-dark',
minimap: { enabled: true },
fontSize: 14,
fontFamily: 'JetBrains Mono',
lineNumbers: 'on',
contextmenu: true,
automaticLayout: true,
});
// Listen for changes and update state
editor.onDidChangeModelContent(() => {
setFiles({ ...files, [activeFile]: editor.getValue() });
});
}, [activeFile]);
return (
<div className="editor-container">
<FileTabs files={Object.keys(files)} active={activeFile} onChange={setActiveFile} />
<div ref={editorRef} className="monaco-editor" />
</div>
);
};
```
### 2.2 Custom Monaco Theme
```typescript
monaco.editor.defineTheme('goose-ultra-dark', {
base: 'vs-dark',
inherit: true,
rules: [
{ token: 'comment', foreground: '6A9955', fontStyle: 'italic' },
{ token: 'keyword', foreground: 'C586C0' },
{ token: 'string', foreground: 'CE9178' },
{ token: 'number', foreground: 'B5CEA8' },
],
colors: {
'editor.background': '#0A0A0B',
'editor.foreground': '#D4D4D4',
'editor.lineHighlightBackground': '#ffffff0a',
'editorCursor.foreground': '#34D399',
}
});
```
---
## Phase 3: Qwen OAuth Integration (Week 2)
### 3.1 OAuth Flow Implementation
**Critical Dependency** - De-risk this first
**Flow:**
1. User clicks "Authenticate with Qwen"
2. Open browser to Qwen OAuth page
3. User grants permission
4. Redirect to local server with auth code
5. Exchange code for access token + refresh token
6. Store tokens securely (encrypted)
**Implementation:**
```typescript
// services/qwen-oauth.ts
export class QwenOAuthService {
private clientId = process.env.QWEN_CLIENT_ID;
private redirectUri = 'http://localhost:8765/callback';
async startOAuthFlow() {
const state = generateRandomState();
const authUrl = `https://dashscope.aliyuncs.com/oauth/authorize?` +
`client_id=${this.clientId}&` +
`redirect_uri=${encodeURIComponent(this.redirectUri)}&` +
`response_type=code&` +
`state=${state}`;
// Open browser
shell.openExternal(authUrl);
// Start local server to receive callback
const server = await this.createCallbackServer();
return new Promise((resolve) => {
server.on('auth_complete', (tokens) => {
this.storeTokens(tokens);
resolve(tokens);
});
});
}
async refreshAccessToken(refreshToken: string) {
// Token refresh logic
}
private async storeTokens(tokens: TokenSet) {
// Encrypt and store in OS keychain
const encrypted = encryptTokens(tokens);
await keytar.setPassword('goose-ultra', 'qwen-tokens', encrypted);
}
}
```
### 3.2 Qwen API Client
```typescript
// services/qwen-client.ts
export class QwenClient {
private accessToken: string;
async chat(messages: Message[], options: ChatOptions) {
const response = await fetch('https://dashscope.aliyuncs.com/api/v1/services/aigc/text-generation/generation', {
method: 'POST',
headers: {
'Authorization': `Bearer ${this.accessToken}`,
'Content-Type': 'application/json',
},
body: JSON.stringify({
model: 'qwen-coder-plus',
input: { messages },
parameters: {
stream: true,
temperature: 0.7,
}
})
});
// Handle streaming response
const reader = response.body.getReader();
for await (const chunk of this.readStream(reader)) {
options.onChunk?.(chunk);
}
}
}
```
---
## Phase 4: AI-Native Patterns (Week 2-3)
### 4.1 CodeNomad Learnings
**Source**: https://github.com/NeuralNomadsAI/CodeNomad.git
**Patterns to Adopt:**
1. **Context-Aware Prompting**: Include file structure, dependencies, and user preferences in AI context
2. **Streaming with Artifacts**: Display partial results as they generate
3. **Multi-Step Planning**: Break complex requests into atomic steps
4. **Code Validation**: Automatic syntax checking + security scanning before applying changes
5. **Rollback Mechanism**: Git-like history for AI-generated changes
### 4.2 Enhanced AI Prompt Engineering
```typescript
// services/prompt-builder.ts
export class PromptBuilder {
buildCodeGenerationPrompt(context: CodeContext) {
return `
<role>You are an expert full-stack developer</role>
<context>
<project_type>${context.projectType}</project_type>
<file_structure>
${context.files.map(f => `- ${f.name}`).join('\n ')}
</file_structure>
<user_preferences>
- UI Library: ${context.uiLibrary || 'Vanilla CSS'}
- Style: ${context.styleGuide || 'Modern, minimal'}
</user_preferences>
</context>
<task>
${context.userRequest}
</task>
<constraints>
1. CRITICAL: Output ONLY executable code - no explanations
2. Use single-file HTML with embedded CSS and JS
3. Include actual UI elements (buttons, inputs, forms)
4. No server-side templates or frameworks
5. Start immediately with: <!DOCTYPE html>
</constraints>
<output_format>
<!DOCTYPE html>
<html>
<!-- Your implementation here -->
</html>
</output_format>
`;
}
}
```
### 4.3 Code Validation Pipeline
```typescript
// services/code-validator.ts
export class CodeValidator {
async validate(code: string): Promise<ValidationResult> {
const results = await Promise.all([
this.checkSyntax(code),
this.checkSecurity(code),
this.checkAccessibility(code),
this.checkPerformance(code),
]);
return {
isValid: results.every(r => r.passed),
errors: results.flatMap(r => r.errors),
warnings: results.flatMap(r => r.warnings),
};
}
private async checkSecurity(code: string) {
// Scan for XSS, eval(), dangerouslySetInnerHTML, etc.
const dangerousPatterns = [
/eval\(/g,
/innerHTML\s*=/g,
/document\.write/g,
];
const violations = [];
for (const pattern of dangerousPatterns) {
if (pattern.test(code)) {
violations.push({
severity: 'high',
message: `Detected potentially unsafe pattern: ${pattern}`,
});
}
}
return { passed: violations.length === 0, errors: violations };
}
}
```
---
## Phase 5: Vibe Style Guide (Week 3)
### 5.1 AI Personality
**Tone**: Confident, efficient, slightly playful
**Voice**: Direct but encouraging
**Behavior**: Proactive suggestions, anticipates needs
**Examples:**
- ❌ "Here's the code you requested."
- ✅ "Built. Preview ready. I also added responsive breakpoints—mobile looks slick."
### 5.2 UI Motion
**Principles:**
1. **Purposeful**: Every animation conveys state or provides feedback
2. **Swift**: 200-300ms for most transitions
3. **Natural**: Easing curves mimic physical motion
**Key Animations:**
```css
/* State Transitions */
.state-enter {
animation: slideAndFade 300ms cubic-bezier(0.16, 1, 0.3, 1);
}
@keyframes slideAndFade {
from {
opacity: 0;
transform: translateY(10px);
}
to {
opacity: 1;
transform: translateY(0);
}
}
/* AI Thinking Indicator */
.ai-thinking {
animation: pulse 1.5s ease-in-out infinite;
}
/* Code Appearing */
.code-stream {
animation: typewriter 0.5s steps(40, end);
}
```
### 5.3 Sound Design
**Audio Cues:**
- `start-build.mp3`: Satisfying "whoosh" when AI begins work
- `build-complete.mp3`: Subtle "ding" on completion
- `error.mp3`: Gentle "thud" for errors (not harsh)
- `keystroke.mp3`: Optional typing sounds for AI streaming
**Implementation:**
```typescript
// services/sound-manager.ts
export class SoundManager {
private sounds = new Map<string, HTMLAudioElement>();
constructor() {
this.preload(['start-build', 'build-complete', 'error', 'keystroke']);
}
play(sound: SoundType, volume = 0.3) {
const audio = this.sounds.get(sound);
if (audio && !this.isMuted) {
audio.volume = volume;
audio.currentTime = 0;
audio.play();
}
}
}
```
---
## Implementation Roadmap
### Week 1: Foundation
- [ ] Set up Next.js project structure
- [ ] Implement core state machine
- [ ] Integrate Monaco Editor basic setup
- [ ] Create Orchestrator V2 with state management
### Week 2: AI Integration
- [ ] Implement Qwen OAuth flow (PRIORITY)
- [ ] Build Qwen API client with streaming
- [ ] Create prompt builder with context injection
- [ ] Add code validation pipeline
### Week 3: Polish & Patterns
- [ ] Implement CodeNomad patterns
- [ ] Create vibe style guide document
- [ ] Add sound design
- [ ] Build diff viewer for AI changes
---
## Architecture Diagram
```
┌─────────────────────────────────────────────────┐
│ User Interface │
├─────────────────────────────────────────────────┤
│ StartView → ChatPanel → MonacoEditor │
│ ↓ │
│ PreviewPanel │
└─────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────┐
│ Orchestrator V2 (State Machine) │
├─────────────────────────────────────────────────┤
│ - State Management │
│ - Transition Validation │
│ - Tool Coordination │
└─────────────────────────────────────────────────┘
┌──────────────┬──────────────┬──────────────────┐
│ Qwen Client │ Monaco API │ File System │
│ (OAuth) │ (VSCode) │ (Electron) │
└──────────────┴──────────────┴──────────────────┘
```
---
## Success Metrics
1. **Time to First Code**: < 5 seconds from user idea to AI response
2. **Code Quality**: 95%+ of generated code passes validation
3. **User Flow**: Users can go from idea → working preview in under 60 seconds
4. **OAuth Reliability**: 100% success rate on token refresh
5. **Editor Performance**: Monaco remains responsive with files up to 10,000 lines
---
## Next Steps
1. Review and approve this plan
2. Set up new Next.js project structure
3. Begin Week 1 implementation
4. Daily check-ins on progress
Would you like me to start implementing Phase 1 now?