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Add Post-Implementation Debugging and Fixing Workflow #442

@RotRot-pi

Description

@RotRot-pi

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:

  1. /implement executes the planned tasks
  2. Code is generated but may contain runtime errors, logic bugs, or missing functionality
  3. Developer is left to manually debug and fix issues outside the Spec Kit framework
  4. 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 build or dart analyze fails 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 diagnosis

Option 2: Enhanced Iteration Command

/iterate     # Fix issues and improve implementation while maintaining spec compliance

Option 3: Robust Implementation

Enhance /implement to include error handling, validation, and retry logic for common failure scenarios.

Why This Aligns with Spec-Driven Development

  1. Iterative Enhancement Phase: The mention of "Iterative Enhancement (Brownfield)" as a supported development phase
  2. Specification Integrity: Bugs often reveal gaps in original specs - fixes should update both code AND specifications
  3. Complete Development Lifecycle: Real software development includes debugging, not just initial creation
  4. 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 alignment

Benefits

  • 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.

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