About
Multi-AI Implementation provides a systematic framework for building complex features and migrating systems with high reliability. It follows a research-validated multi-step process that emphasizes comprehensive context discovery and architectural planning before a single line of code is written. By enforcing incremental, test-first development with small change sets and automatic rollbacks on test failures, it ensures codebases remain stable while consistently achieving high test coverage and maintaining superior code quality scores.
