[AI-004] Develop AI System for Automated Contract Upgrade Path Planning and Migration

[Nanle-code]

Soroban contract upgrades are complex and error-prone. Build an AI system that plans safe upgrade paths:

• Analyze current contract state, storage layout, and active interfaces
• Use AI to identify breaking changes and suggest backward-compatible modifications
• Implement state migration planning with data transformation strategies
• Generate upgrade transaction sequences with simulation and rollback planning
• Include dependency analysis for interconnected contracts
• Implement risk assessment for upgrade proposals with mitigation strategies
• Support automated testing of upgrade procedures on testnet before mainnet execution
• Include governance integration for DAO-controlled upgrades

Technical Challenges:

• Complex state space analysis and migration planning
• Handling of live contracts with active users and pending transactions
• Formal verification of upgrade correctness
• Handling of different upgrade patterns (proxy, immutable, etc.)

Acceptance Criteria:

• Successfully plans upgrades for complex contracts with >100 storage entries
• Includes comprehensive test suite with upgrade scenarios
• Integration with existing upgrade commands
• Safety verification with formal methods where possible

Difficulty: Expert
Priority: High

[Purity-Euphemia]

Good Day Maintainer, I have experience and would review the issue, implement a clean solution, test it, and submit a pull request.