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feat: What-If Scenario Simulator for predicting code change impacts #5
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…ulator - Add ProposedChange interface for representing code changes - Add SimulationParameters for configuring stress conditions - Add SimulationFinding for individual risk assessments - Add SimulationResult for complete simulation output with before/after comparison These types provide the foundation for the What-If Scenario Simulator feature that will predict the impact of code changes before implementation. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
- Add optional proposed_change field with description, diff, and affected_files - Add optional simulation_parameters for stress condition testing - Update tool description to mention What-If simulation capability - Update JSON schema in tool list to match Zod schema This enables the hypothesis_test tool to accept proposed code changes and simulate their impact under various conditions. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
- Import SimulationResult, ProposedChange, and SimulationParameters types - Implement simulateChange method that sets up the analysis session - Read both context files and files affected by the proposed change - Add placeholder performComparativeSimulation method for three-step analysis - Handle errors by returning high-risk recommendation This provides the foundation for the What-If Scenario Simulator. The next step will be implementing the three-step comparative analysis chain. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
- Implement performComparativeSimulation with three distinct phases: 1. Baseline analysis of current code state 2. Change analysis comparing before/after states 3. System impact and emergent behavior identification - Add prompt builders for each analysis phase - Extract function names from git diffs for targeted analysis - Convert DeepAnalysisResult to SimulationResult format - Map confidence levels to risk levels (low/medium/high/critical) - Map cause types to finding types (performance/bug/breaking/emergent) The simulation uses conversational AI to maintain context between steps, enabling deep comparative analysis of proposed changes. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
- Check if proposed_change is provided in hypothesis_test arguments - If present, route to simulateChange instead of testHypothesis - Create appropriate ClaudeCodeContext for simulation - Validate proposed change fields (description, diff, affected_files) - Pass through simulation_parameters for stress testing - Import ProposedChange type for proper typing This completes the integration, allowing users to trigger What-If simulations through the existing hypothesis_test tool by providing a proposed_change object. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
- Replace removeSession with releaseLock in ConversationManager - Fix metadata type for conversation turns (use analysisType instead of step) - Convert snake_case simulation_parameters to camelCase for TypeScript - Map stress_conditions to stressConditions and target_entry_point to targetEntryPoint All TypeScript errors resolved and build passes successfully. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
- Create comprehensive examples showing three use cases: - Retry logic changes (exponential to linear backoff) - Adding caching to database queries - Changing error handling patterns - Add GitHub Action workflow template that: - Triggers on PR open/sync - Extracts PR diff and affected files - Posts simulation results as PR comments - Updates existing comments on re-runs - Uses emoji indicators for risk levels The workflow is a template ready for integration with the actual MCP server runtime. Currently includes placeholder for simulation. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
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Summary
This PR implements the What-If Scenario Simulator, a powerful new feature that predicts the impact of code changes before implementation. It uses AI-powered comparative analysis to identify risks, emergent behaviors, and system-wide impacts.
Features Implemented
1. Core Simulation Engine
simulateChange
method inDeepCodeReasonerV2
safe_to_implement
,proceed_with_caution
, orhigh_risk_do_not_implement
2. Integration with MCP Protocol
hypothesis_test
tool to acceptproposed_change
parameterproposed_change
is provided3. Data Models
SimulationResult
with risk levels and findingsSimulationFinding
for individual risk assessmentsProposedChange
for representing code changesSimulationParameters
for stress testing configuration4. Documentation & Examples
5. GitHub Action Integration (Template)
Example Usage
Technical Implementation
The simulator uses the Conversational Gemini Service to maintain context between analysis steps, enabling deep comparative reasoning:
Next Steps
Testing
The implementation includes proper error handling and validation:
This feature represents a significant advancement in proactive code quality assurance, allowing developers to "see the future" before making changes.
🤖 Generated with Claude Code