//! # Real-World: Automated Documentation Generation
//!
//! Generate comprehensive API documentation using specialized agents.
//!
//! ## Business Problem
//! Keep API documentation in sync with code changes (currently 2 weeks behind).
//!
//! ## Solution
//! Multi-agent pipeline: Code Analyzer → Doc Writer → Quality Checker
//!
//! ## Run
//! ```bash
//! cargo run --example 02-documentation-generation
//! ```

fn main() {
    println!("=== Real-World: Documentation Generation ===\n");

    println!("Problem: Documentation is always out of sync");
    println!("Current: Manual updates, 2-3 weeks behind code\n");

    println!("Solution: Automated documentation pipeline\n");

    // Phase 1: Code Analysis
    println!("Phase 1: Code Analysis (Ollama)");
    println!("  1. Parse all source files");
    println!("  2. Extract API endpoints, types, functions");
    println!("  3. Identify breaking changes");
    println!("  4. Generate change summary");
    println!("Cost: FREE (local)");
    println!("Time: 2 minutes for 10k LOC\n");

    // Phase 2: Doc Generation
    println!("Phase 2: Documentation Writing (Claude)");
    println!("  1. Generate endpoint descriptions");
    println!("  2. Create request/response examples");
    println!("  3. Document parameters and types");
    println!("  4. Add error documentation");
    println!("Cost: ~$0.40 per endpoint");
    println!("Time: 30 seconds per endpoint\n");

    // Phase 3: Quality Check
    println!("Phase 3: Quality Assurance (GPT-4)");
    println!("  1. Verify accuracy against code");
    println!("  2. Check completeness");
    println!("  3. Ensure clarity for developers");
    println!("  4. Validate examples");
    println!("Cost: ~$0.15 per doc");
    println!("Time: 15 seconds\n");

    // Execution example
    println!("=== Example: New Feature Documentation ===");
    println!("Commit: Add user search API endpoint\n");

    println!("Step 1: Code analysis");
    println!("  Detected: New endpoint POST /api/v1/users/search");
    println!("  Parameters: query, limit, offset");
    println!("  Returns: { users: [...], total: number }");
    println!("  Status: Ready for documentation\n");

    println!("Step 2: Documentation");
    println!("  [Claude generates markdown]");
    println!("  ## Search Users");
    println!("  Search the user database with full-text capabilities.");
    println!("  ### Request");
    println!("  POST /api/v1/users/search");
    println!("  {{ \"query\": \"john\", \"limit\": 10 }}");
    println!("  ...[complete documentation]...\n");

    println!("Step 3: Quality check");
    println!("  ✓ Accuracy: 100% (matches code)");
    println!("  ✓ Completeness: All fields documented");
    println!("  ✓ Clarity: Developer-friendly");
    println!("  ✓ Examples: Valid and correct");
    println!("  Status: APPROVED\n");

    println!("=== Workflow Results ===");
    println!("Docs generated: 5 minutes after code commit");
    println!("Accuracy: 99%+ (verified by tests)");
    println!("Cost: $0.55 per endpoint");
    println!("Time saved: 2+ hours per feature\n");

    println!("=== Monthly Impact ===");
    println!("Endpoints added/month: ~20");
    println!("Manual doc time: 40+ hours");
    println!("Automated time: 2 hours");
    println!("Cost savings: $1000+ month");
    println!("Quality improvement: Docs in sync, always current");
}