Add AlphaEvolve integration plan for issue #15

[SHA888]

AlphaEvolve Integration Plan

Overview

This PR introduces a comprehensive implementation plan for integrating concepts from Google's AlphaEvolve into the Darwin Gödel Machine (DGM) framework. The plan outlines how to combine DGM's agent evolution approach with AlphaEvolve's program evolution capabilities to create a more powerful self-improving system.

Key Components

1. Dual Evolution Framework

• Agent Evolution: Maintains DGM's existing approach of evolving the coding agent
• Program Evolution: Introduces AlphaEvolve's approach of evolving individual programs
• Coordination Layer: Enables interaction and knowledge sharing between the two evolution streams

2. Implementation Phases

1. Foundation: Core infrastructure for program evolution
2. Program Evolution: Implementation of mutation operators and LLM-guided search
3. Integration: Cross-pollination between agent and program evolution
4. Evaluation: Comprehensive testing and benchmarking

3. Technical Highlights

• Extended evaluation framework supporting both evolution types
• Enhanced safety mechanisms for program execution
• Resource management for efficient dual evolution
• Comprehensive benchmarking suite

Benefits

• Combines the strengths of agent and program evolution
• Enables more diverse solution exploration
• Potential for faster convergence on optimal solutions
• Maintains backward compatibility with existing DGM functionality

Related Issues

Closes #15

Next Steps

• Get feedback on the proposed approach
• Refine implementation details based on maintainer input
• Begin Phase 1 implementation

Documentation

See AlphaEvolve.md for the complete implementation plan.