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Description
Problem Statement
The current Spec-Driven Development workflow provides excellent structure for initial development (constitution → specify → plan → tasks → implement), but lacks a systematic approach for handling broken or incomplete implementations that result from the /implement command.
Current Gap
What happens now:
/implementexecutes the planned tasks- Code is generated but may contain runtime errors, logic bugs, or missing functionality
- Developer is left to manually debug and fix issues outside the Spec Kit framework
- No structured way to ensure fixes align with original specifications
Real-world scenarios:
Scenario 1: Build Failures
- AI agent generates Flutter app code following the implementation plan
- Code contains syntax errors, missing imports, or incorrect API usage
flutter buildordart analyzefails with compilation errors- Developer must manually identify and fix code issues outside the Spec Kit framework
Scenario 2: Runtime Issues
- AI agent successfully generates Flutter app structure that compiles
- App builds but crashes on startup due to missing dependencies or configuration
- Runtime errors appear in device logs or debug console during testing
- Logic bugs surface during user testing that weren't caught in generation
- No clear path to systematically address these issues within the Spec Kit methodology
Proposed Solution
Add a post-implementation workflow to handle debugging and fixes while maintaining spec-driven principles:
Option 1: Dedicated Fix Commands
/diagnose # Analyze errors, identify root causes, check spec alignment
/fix # Implement targeted fixes based on diagnosisOption 2: Enhanced Iteration Command
/iterate # Fix issues and improve implementation while maintaining spec complianceOption 3: Robust Implementation
Enhance /implement to include error handling, validation, and retry logic for common failure scenarios.
Why This Aligns with Spec-Driven Development
- Iterative Enhancement Phase: The mention of "Iterative Enhancement (Brownfield)" as a supported development phase
- Specification Integrity: Bugs often reveal gaps in original specs - fixes should update both code AND specifications
- Complete Development Lifecycle: Real software development includes debugging, not just initial creation
- Enterprise Readiness: Mission-critical applications need robust error handling and fixing workflows
Expected Behavior
A /fix or similar command should:
- Analyze current codebase against specifications
- Identify discrepancies between expected and actual behavior
- Generate targeted fixes that maintain spec compliance
- Update relevant specification documents if gaps are discovered
- Preserve the structured, traceable development approach
Use Case Example
# After /implement generates broken code
/diagnose "App crashes on startup with SQLite connection error"
# Command would:
# 1. Analyze error logs
# 2. Check against database setup in plan.md
# 3. Identify missing configuration or dependencies
# 4. Suggest specific fixes
/fix
# Execute the identified fixes while maintaining spec alignmentBenefits
- Maintains Spec-Driven Approach: Fixes are systematic, not ad-hoc
- Improves Success Rate: Higher likelihood of working implementations
- Enterprise Viability: Addresses real-world development cycles
- Specification Evolution: Allows specs to improve based on implementation learnings
Impact on Current Workflow
This would extend the existing workflow from:
constitution → specify → plan → tasks → implement
To:
constitution → specify → plan → tasks → implement → [diagnose/fix as needed]
The addition is backwards-compatible and optional - projects with successful implementations wouldn't need the debugging workflow.
Environment:
- Using Spec Kit with Flutter desktop application development
- Observed this gap during real project implementation
- AI Agent: Qwen Code
Related:
This enhancement would support the "Iterative Enhancement" and "Enterprise constraints" experimental goals.