Multi-AI Implementation Overview multi-ai-implementation provides systematic code generation and incremental development using the proven Explore-Plan-Code-Commit workflow with built-in TDD, quality gates, and multi-agent coordination. Purpose : Transform specifications into production-ready code through incremental, test-driven development Pattern : Workflow-based (6-step sequential process) Key Principles (validated by tri-AI research): 1. Explore Before Coding - Gather context first, never jump straight to implementation 2. Plan Architecture - Use multi-ai-planning before writing code 3. I…