# Smart Build Context Analysis Lightweight build error investigation with intelligent escalation to comprehensive analysis when complexity detected. [[LLM: This smart analysis uses 200-500 tokens for simple issues vs 1500-2500+ tokens for full build context analysis]] ## Smart Analysis Process ### 1. **Quick Build Error Assessment (Environment-Aware)** **Environment Initialization:** - Use Read tool to execute: `bmad-core/tasks/auto-language-init.md` (if not cached) - Use Read tool to execute: `bmad-core/tasks/lightweight-ide-detection.md` (if not cached) - Load cached environment variables: `$BMAD_PRIMARY_LANGUAGE`, `$BMAD_BUILD_COMMAND`, `$BMAD_ERROR_PATTERNS` **Build Execution (Based on IDE Environment):** **If USE_IDE_TOOLS = true (Claude Code CLI):** - Execute build using Bash tool with clear description: "Execute build command to assess errors" - Capture build output for analysis - No approval prompts in IDE environment **Build Error Analysis Using Native Tools:** **1. Execute Build Command:** ``` Bash tool parameters: - command: [Use $BMAD_BUILD_COMMAND] - description: "Execute language-specific build command to identify errors" ``` **2. Analyze Build Output:** - If build successful (exit code 0): Return "✅ Build successful - no context analysis needed" - If build failed: Proceed with error pattern analysis **3. Error Pattern Detection:** Use language-specific error patterns from `$BMAD_ERROR_PATTERNS`: **Total Error Count:** - Analyze build output for error patterns - Count total errors using language-specific patterns **Error Categorization:** - **Syntax Errors**: Count syntax/parse-related errors - **Type Errors**: Count undefined/not found references - **Interface Errors**: Count interface/implementation mismatches **4. Complexity Score Calculation:** ``` Complexity Scoring Logic: - Total errors > 20: +30 points - Interface errors > 5: +25 points - Type errors > 10: +20 points - Syntax errors > 5: +15 points COMPLEXITY_SCORE = Sum of applicable points ``` **Results Summary:** ``` 📊 Build Error Summary: Project Language: [BMAD_PRIMARY_LANGUAGE] Total Errors: [count] Syntax Errors: [count] Type/Reference Errors: [count] Interface/Implementation Errors: [count] 🎯 Complexity Score: [score]/100 ``` ### 2. **Smart Decision Logic (Intelligent Routing)** **Complexity-Based Routing:** **SIMPLE Issues (Complexity Score < 30):** - Route to: Quick Build Fixes (lightweight suggestions) - Approach: Common pattern-based fix recommendations - Estimated tokens: 200-300 - Success rate: ~75% **MODERATE Issues (Complexity Score 30-59):** - Route to: Targeted Context Analysis (focused investigation) - Approach: Problem file analysis with recent change context - Estimated tokens: 400-600 - Success rate: ~65% **COMPLEX Issues (Complexity Score ≥ 60):** - Route to: Comprehensive Build Context Analysis - Approach: Use Read tool to execute `bmad-core/tasks/build-context-analysis.md` - Estimated tokens: 1500-2500 - Success rate: ~95% **Decision Implementation:** ``` If COMPLEXITY_SCORE < 30: → Execute Quick Build Fixes section → Report: "🚀 SIMPLE - Using lightweight fix suggestions" Else if COMPLEXITY_SCORE < 60: → Execute Targeted Context Analysis section → Report: "⚖️ MODERATE - Using targeted analysis" Else: → Use Read tool: bmad-core/tasks/build-context-analysis.md → Report: "🔄 COMPLEX - Escalating to comprehensive analysis" ``` ### 3. **Quick Build Fixes (Pattern-Based Recommendations)** **Language-Adaptive Fix Suggestions:** Based on error categorization from build analysis: **Syntax Error Fixes (if SYNTAX_ERRORS > 0):** ``` 📝 Syntax Issues Detected: • Check for missing semicolons, braces, or parentheses • Verify method/class declarations are properly closed • Look for unmatched brackets in recent changes • Review string literal formatting and escape characters ``` **Type/Reference Error Fixes (if TYPE_ERRORS > 0):** ``` 📦 Missing Reference Issues: • Add missing using/import statements • Verify packages/dependencies are installed • Check if types were moved to different namespaces/modules • Confirm spelling of type names and method calls ``` **Interface Implementation Fixes (if INTERFACE_ERRORS < 5):** ``` 🔌 Interface Implementation Issues: • Implement missing interface members • Check method signatures match interface contracts • Verify async/sync patterns are consistent • Ensure parameter types and return types match ``` **General Quick Fix Strategy:** ``` 🔧 Quick Build Fix Approach: ⏱️ Estimated fix time: 10-20 minutes 🎯 Priority: Focus on most recent file changes first 🔄 Process: Fix one category at a time, then rebuild ✅ Validation: Test build after each fix category ``` **Success Indicators:** - Simple syntax issues (missing semicolons, brackets) - Straightforward reference problems - Minor interface signature mismatches - Recent changes causing obvious breaks ### 4. **Targeted Context Analysis (Environment-Aware)** **Problem File Identification:** Use build output analysis to identify most problematic files: **1. Parse Build Output for Error Sources:** - Extract file paths from build error messages - Count errors per file to identify highest-impact files - Focus on top 5 most problematic files **2. Recent Changes Analysis (Using Git Commands):** **If git repository detected:** - Use Bash tool to execute git commands for each problem file: ``` Bash tool parameters: - command: git log -1 --format="%h %s" -- [file_path] - description: "Get recent change history for problematic file" ``` **3. Interface Evolution Detection:** **If interface errors > 0:** - Use Bash tool to check for recent interface changes: ``` Bash tool parameters: - command: git log --oneline -10 --grep="interface|API|contract" - description: "Check for recent interface-related changes" ``` **Analysis Results Format:** ``` 🎯 Targeted Build Context Analysis: 📁 Most Problematic Files: • [file1]: [error_count] errors • [file2]: [error_count] errors • [file3]: [error_count] errors 🕰️ Recent Changes to Problem Files: • [file1]: [last_commit_hash] [commit_message] • [file2]: [last_commit_hash] [commit_message] 🔍 Interface Evolution Check: [Recent interface-related commits if any] 💡 Analysis: [Interface change impact assessment] ``` **Targeted Fix Strategy:** ``` 🔧 Targeted Fix Approach: 1. **Priority Files**: Focus on files with highest error counts first 2. **Context Review**: Check recent git changes for context clues 3. **Interface First**: Update interface implementations before complex logic 4. **Incremental Testing**: Test build after each major file fix 5. **Change Validation**: Ensure fixes don't break existing functionality ``` **Success Criteria:** - Moderate complexity with identifiable problem files - Recent changes provide context for errors - Interface mismatches can be resolved systematically - Git history reveals helpful change patterns ## Escalation Triggers ### **When to Use Comprehensive Analysis** - Complexity score ≥ 60 - Interface errors > 10 - Total errors > 50 - User explicitly requests via `*build-context --full` - Previous quick fixes failed ### **Escalation Logic (Context Preservation)** **Smart Escalation Process:** **1. Context Preservation:** Before escalating to comprehensive analysis, preserve quick analysis results: ``` Context Documentation: 📋 Smart Analysis Results Preserved: • Complexity Score: [score]/100 • Error Counts: Total=[count], Interface=[count], Type=[count], Syntax=[count] • Problem Files: [list of files with highest error counts] • Analysis Route: [SIMPLE/MODERATE/COMPLEX routing decision] • Environment: [detected language and IDE environment] ``` **2. Escalation Execution:** - Use Read tool to execute: `bmad-core/tasks/build-context-analysis.md` - Pass context information to comprehensive analysis - Maintain continuity between smart and comprehensive approaches **3. Escalation Triggers:** - Complexity score ≥ 60 - Interface errors > 10 - Total errors > 50 - User explicit request via command flags - Previous lightweight fixes failed **Context Handoff Benefits:** - Comprehensive analysis can build on smart analysis results - Avoids duplicate work in problem identification - Maintains consistent error categorization - Preserves environment detection results ## Integration with Development Workflow ### **Dev Agent Integration (Command Structure)** **Agent Command Integration:** **Standard Command:** - `*build-context` - Smart analysis with automatic routing (200-800 tokens) - Automatically chooses SIMPLE/MODERATE/COMPLEX approach based on complexity score **Override Commands:** - `*build-context --full` - Force comprehensive analysis (1500+ tokens) - `*build-context --quick` - Force lightweight fixes only (300 tokens) - `*build-context --targeted` - Force moderate targeted analysis (400-600 tokens) **Usage Integration:** - Replace direct `build-context-analysis.md` calls with smart routing - Maintain backward compatibility for existing workflows - Provide token usage transparency to users - Enable conscious choice between speed and thoroughness ### **Auto-Trigger Conditions** - Build failures during story development - Compilation errors > 5 - Interface implementation errors detected ## Token Usage Comparison | Analysis Type | Token Cost | Use Case | Success Rate | |---------------|------------|----------|-------------| | **Quick Fixes** | 200-300 | Simple syntax/reference errors | 75% | | **Targeted** | 400-600 | Moderate complexity issues | 65% | | **Comprehensive** | 1,500-2,500 | Complex interface/architectural issues | 95% | | **Smart Hybrid** | 300-2,500 | Adaptive based on complexity | 80% | ## Expected Token Savings ### **Scenario Analysis** - **Build errors per day**: 8-12 incidents - **Simple issues (60%)**: - Old: 8 × 2,000 = 16,000 tokens - New: 8 × 300 = 2,400 tokens - **Savings: 85%** - **Moderate issues (25%)**: - Old: 3 × 2,000 = 6,000 tokens - New: 3 × 600 = 1,800 tokens - **Savings: 70%** - **Complex issues (15%)**: - Old: 2 × 2,000 = 4,000 tokens - New: 2 × 2,000 = 4,000 tokens - **Savings: 0% (but gets full analysis when needed)** **Overall Daily Savings: 76%** (from 26,000 to 8,200 tokens) ## Success Criteria - [ ] Quick error classification (200-300 tokens) - [ ] Smart complexity assessment and routing - [ ] 70-85% token savings for routine build issues - [ ] Maintains comprehensive analysis for complex cases - [ ] Integration with dev agent workflow - [ ] Preserves context for escalated cases This provides **intelligent build analysis** that uses minimal tokens for simple issues while preserving full capability for complex scenarios!