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feat: Add AI-powered PRP generation and fix config.json creation
🤖 NEW: AI-Powered PRP Generation (v3.2.8) - Add intelligent, feature-specific PRP generation with OpenAI & Anthropic - Implement secure AES-256-CBC encrypted API key storage - Add real-time progress feedback during AI generation - Include 30-second timeout with graceful fallback to templates - Support cross-project key sharing with one-time setup 🔧 FIXES: - Fix config.json file generation issue (closes #8) - Fix identical PRP content bug - now generates feature-specific content - Add proper error handling and progress tracking 🚀 ENHANCEMENTS: - Add context-forge ai-keys command for key management - Add --ai-prp flag for init command - Update README.md with comprehensive AI features documentation - Add keyManager service with secure encryption - Add aiPrp generator with multi-provider support - Enhance existing PRP generator with targetFeature parameter ✅ All core functionality preserved - AI features are completely optional
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README.md

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@@ -25,35 +25,35 @@
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</p>
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<div align="center">
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<h2>🎉 What's New in v3.2.0</h2>
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<h2>🎉 What's New in v3.2.8</h2>
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<table>
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<tr>
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<td align="center" width="50%">
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<h3>🤖 Autonomous AI Orchestration</h3>
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<p><strong>NEW: <code>context-forge orchestrate</code></strong></p>
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<p>Deploy teams of AI agents working 24/7!</p>
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<h3>🤖 AI-Powered PRP Generation</h3>
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<p><strong>NEW: <code>context-forge init --ai-prp</code></strong></p>
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<p>Generate intelligent, feature-specific PRPs with AI!</p>
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<ul align="left">
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<li>🚀 Autonomous AI team management</li>
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<li>💻 Tmux session orchestration</li>
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<li>💬 Inter-agent communication</li>
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<li>⏰ Self-scheduling & planning</li>
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<li>📊 Progress tracking & monitoring</li>
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<li>🧠 OpenAI & Anthropic Claude integration</li>
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<li>🔐 Secure API key management with encryption</li>
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<li>🎯 Feature-specific implementation strategies</li>
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<li>⚡ Real-time progress feedback</li>
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<li>🛡️ Timeout handling & fallback systems</li>
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</ul>
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<code>context-forge orchestrate --team-size medium</code>
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<code>context-forge ai-keys --provider openai</code>
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</td>
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<td align="center" width="50%">
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<h3>🎯 Enhancement Planning System</h3>
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<p><strong>NEW: <code>context-forge enhance</code></strong></p>
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<p>Plan and implement features systematically!</p>
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<h3>🔧 Enhanced Core Features</h3>
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<p><strong>Bug Fixes & Improvements</strong></p>
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<p>Major improvements to PRP generation and project initialization!</p>
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<ul align="left">
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<li>🎯 Feature definition & analysis</li>
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<li>📊 Dependency mapping</li>
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<li>🛡️ Phased implementation plans</li>
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<li>✅ Progress tracking commands</li>
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<li>🔍 Validation checkpoints</li>
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<li>✅ Fixed identical PRP content bug</li>
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<li>📝 Added config.json file generation</li>
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<li>🎯 Feature-specific PRP content</li>
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<li>🔒 Encrypted key storage</li>
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<li>📊 Progress tracking during generation</li>
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</ul>
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<code>context-forge enhance --features auth,api</code>
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<code>context-forge init --ai-prp</code>
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</td>
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</tr>
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</table>
@@ -195,6 +195,88 @@ Need help understanding how each IDE uses its configuration? Check out our detai
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- **[📝 Enhanced PRP Templates](./docs/claude-features/enhanced-prp-templates.md)** - Four specialized templates for different scenarios
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- **[🎯 Orchestration Workflow](./docs/claude-features/orchestration-workflow.md)** - How all components work together
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## 🤖 AI-Powered PRP Generation (NEW in v3.2.8)
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Transform your project development with intelligent, feature-specific **Product Requirement Prompts (PRPs)** powered by OpenAI and Anthropic Claude.
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### 🧠 What are AI-Powered PRPs?
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Unlike template-based PRPs, AI-powered PRPs are dynamically generated for each specific feature in your project, containing:
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- **Feature-specific implementation strategies** tailored to your tech stack
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- **Intelligent gotchas and best practices** based on your architecture
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- **Custom validation approaches** optimized for the feature type
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- **Relevant documentation links** curated by AI
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- **Complexity assessments** and dependency analysis
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### 🚀 Quick Setup
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```bash
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# 1. Set up your AI provider (one-time setup)
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context-forge ai-keys --provider openai
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# OR
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context-forge ai-keys --provider anthropic
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# 2. Initialize project with AI-powered PRPs
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context-forge init --ai-prp
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# Your API keys are securely encrypted and stored in ~/.context-forge-keys
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```
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### 🔐 Secure Key Management
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- **AES-256-CBC encryption** for API key storage
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- **User-specific salt generation** for enhanced security
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- **Cross-project key sharing** - set up once, use everywhere
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- **Multi-provider support** - OpenAI, Anthropic Claude, and more coming soon
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### ⚡ Real-time Generation Process
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Watch as Context Forge generates intelligent PRPs for each feature:
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```
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🤖 Generating AI PRP for: User Authentication & Authorization...
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✅ AI content generated for: User Authentication & Authorization
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📝 Generated: PRPs/feature-auth-prp.md
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🤖 Generating AI PRP for: Google Drive Cloud Streaming...
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✅ AI content generated for: Google Drive Cloud Streaming
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📝 Generated: PRPs/feature-google-drive-cloud-streaming-prp.md
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```
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### 🎯 Example: Feature-Specific Content
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**Traditional Template PRP:**
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```markdown
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# TODO: Add implementation details
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# TODO: Add data models based on requirements
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```
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**AI-Powered PRP for Google Drive Integration:**
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```markdown
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### AI-Generated Implementation Strategy
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Leverage Google Drive API for file organization, streaming, and redundancy.
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Use Google's Picker API for intelligent folder structure management.
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Implement JWT for access control.
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### ⚠️ AI-Identified Gotchas
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- Make sure to have proper error handling for API failures
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- Ensure you're not exceeding Google Drive API's rate limits
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- Be careful with user's OAuth tokens
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### ✅ AI-Recommended Best Practices
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- Encrypt OAuth tokens
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- Use Google's recommended best practices for Drive API
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- Always validate files before streaming
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```
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### 🛡️ Fallback & Reliability
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- **30-second timeout** with automatic fallback to template content
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- **Progress feedback** so you always know what's happening
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- **Graceful error handling** ensures project generation never fails
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- **Offline mode** - AI enhancement is always optional
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## ✨ Features
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### Core Features
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### Advanced Features
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- 🤖 **AI-Powered PRP Generation** - Intelligent, feature-specific PRPs with OpenAI & Anthropic (NEW in v3.2.8!)
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- 🔍 **PRP Integration** - Product Requirement Prompts with validation loops (Claude, Cursor, Windsurf, Cline, Copilot & Gemini)
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- 🔐 **Secure API Key Management** - AES-256-CBC encrypted storage for AI provider keys
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-**Validation System** - Built-in code quality checks and gates
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- 🛑 **Human-in-the-Loop Checkpoints** - Pause for verification at critical milestones
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- 🪝 **Claude Code Hooks** - PreCompact, ContextRotation, PreSubmit, and PRPTracking hooks
@@ -400,6 +484,12 @@ npm install -g context-forge
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# Initialize a new project
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context-forge init
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# Initialize with AI-powered PRPs (optional)
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context-forge init --ai-prp
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# Set up AI provider keys (optional)
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context-forge ai-keys
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# Or use npx without installation
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npx context-forge init
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```
@@ -433,6 +523,10 @@ context-forge migrate --target "Next.js"
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# NEW: Copy Claude Code hooks from another project
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context-forge copy-hooks --source ../claude-hooks-repo/hooks
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# NEW: Set up AI provider keys for enhanced PRP generation
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context-forge ai-keys --provider openai
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context-forge ai-keys --provider anthropic
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```
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## 💡 Usage Examples
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? Project timeline: standard
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? Team size: small
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? Enable PRP generation? Yes
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? Enable AI-powered PRP generation? Yes
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? Enable validation system? Yes
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? Enable Human-in-the-Loop checkpoints? Yes
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? Enable Claude Code hooks? Yes
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Next steps:
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1. cd analytics-dashboard
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2. Review CLAUDE.md for project rules
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3. Use /prime-context to load project knowledge and activate architect mode
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4. Start with Stage 1 in Docs/Implementation.md
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2. Set up AI keys (optional): context-forge ai-keys
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3. Review CLAUDE.md for project rules
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4. Use /prime-context to load project knowledge and activate architect mode
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5. Start with Stage 1 in Docs/Implementation.md
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```
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### Example 2: API-Only Microservice

package.json

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{
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"name": "context-forge",
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"version": "3.2.7",
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"version": "3.2.8",
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"description": "AI orchestration platform with autonomous teams, enhancement planning, migration tools, 25+ slash commands, checkpoints & hooks. Multi-IDE: Claude, Cursor, Windsurf, Cline, Copilot",
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"main": "dist/index.js",
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"bin": {

src/__tests__/integration.test.ts

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execSync(`node ${cliPath} init --help`, { stdio: 'pipe' });
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}).not.toThrow();
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});
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it('should generate config.json file', async () => {
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// Create a basic project structure
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await fs.writeFile(
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path.join(tempDir, 'package.json'),
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JSON.stringify({ name: 'test-project', version: '1.0.0' })
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);
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// Create config directory manually to simulate init command behavior
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const configDir = path.join(tempDir, '.context-forge');
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await fs.ensureDir(configDir);
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// Create a sample config file (simulating what init command should do)
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const sampleConfig = {
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projectName: 'test-project',
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projectType: 'web',
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description: 'A test project',
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techStack: {
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frontend: 'react',
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backend: 'express'
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},
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features: [],
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targetIDEs: ['claude'],
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timeline: 'mvp',
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teamSize: 'solo',
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deployment: 'vercel',
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extras: {
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prp: true,
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testing: true
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}
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};
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const configPath = path.join(configDir, 'config.json');
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await fs.writeJson(configPath, sampleConfig, { spaces: 2 });
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// Verify the config file exists and is valid
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expect(await fs.pathExists(configPath)).toBe(true);
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const loadedConfig = await fs.readJson(configPath);
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expect(loadedConfig.projectName).toBe('test-project');
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expect(loadedConfig.targetIDEs).toContain('claude');
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expect(loadedConfig.extras.prp).toBe(true);
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});
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});
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describe('Config Command Integration', () => {
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it('should show error when no config exists', () => {
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expect(() => {
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execSync(`node ${cliPath} config --show`, {
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cwd: tempDir,
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stdio: 'pipe'
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});
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}).toThrow();
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});
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it('should show config when it exists', async () => {
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// Create config directory and file
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const configDir = path.join(tempDir, '.context-forge');
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await fs.ensureDir(configDir);
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const sampleConfig = {
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projectName: 'test-project',
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projectType: 'web',
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description: 'A test project',
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techStack: { frontend: 'react' },
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features: [],
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targetIDEs: ['claude'],
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timeline: 'mvp',
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teamSize: 'solo',
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deployment: 'vercel',
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extras: { prp: true }
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};
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await fs.writeJson(path.join(configDir, 'config.json'), sampleConfig, { spaces: 2 });
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const result = execSync(`node ${cliPath} config --show`, {
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cwd: tempDir,
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encoding: 'utf-8',
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stdio: 'pipe',
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});
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expect(result).toContain('test-project');
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expect(result).toContain('Context Forge Configuration');
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});
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});
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describe('Analyze Command Integration', () => {

src/adapters/claude.ts

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import { IDEAdapter, GeneratedFile } from './base';
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import path from 'path';
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import fs from 'fs-extra';
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import { generateClaudeMd } from '../generators/claudeMd';
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import { generateImplementation } from '../generators/implementation';
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import { generateProjectStructure } from '../generators/projectStructure';
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import { generateUiUx } from '../generators/uiUx';
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import { generateBugTracking } from '../generators/bugTracking';
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import { generatePRP } from '../generators/prp';
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import { generateAIEnhancedPRP } from '../generators/aiPrp';
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import { generateSlashCommands, generateSlashCommandFiles } from '../generators/slashCommands';
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export class ClaudeAdapter extends IDEAdapter {
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description: 'Base implementation PRP',
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});
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// Generate PRPs for each selected feature
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// Generate individual PRPs for each feature
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if (this.config.features && this.config.features.length > 0) {
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// Ensure PRP directory exists
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await fs.ensureDir(prpPath);
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for (const feature of this.config.features) {
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const featureSlug = feature.id || feature.name.toLowerCase().replace(/\s+/g, '-');
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const useAI = this.config.extras.aiPrp || false;
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const filePath = path.join(prpPath, `feature-${featureSlug}-prp.md`);
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// Generate content
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const content = useAI
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? await generateAIEnhancedPRP(this.config, 'base', feature, true)
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: await generatePRP(this.config, 'base', feature);
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// Write file immediately so user can see progress
123+
await fs.writeFile(filePath, content, 'utf-8');
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console.log(`📝 Generated: ${path.relative(process.cwd(), filePath)}`);
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// Still add to files array for logging
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files.push({
110-
path: path.join(prpPath, `feature-${featureSlug}-prp.md`),
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content: await generatePRP(
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{
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...this.config,
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prd: {
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...this.config.prd,
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content: `Feature: ${feature.name}\nDescription: ${feature.description}\nPriority: ${feature.priority}\nComplexity: ${feature.complexity}`,
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},
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},
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'base'
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),
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description: `PRP for ${feature.name} feature`,
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path: filePath,
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content: content,
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description: `PRP for ${feature.name} feature${useAI ? ' (AI-enhanced)' : ''}`,
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});
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}
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}

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