Restructuring an Entire Application Ecosystem with Specialized AI Agents, Spec-Driven Development, and Automated TDD
The author describes how they are using a workflow with specialized AI agents, Spec-Driven Development (SDD), and automated TDD to migrate a legacy React Native app to a modern architecture while ensuring quality, traceability, and mandatory testing at every step.
Why it matters
This approach demonstrates how AI-powered workflows can streamline complex software migration projects while ensuring quality and traceability.
Key Points
- 1Leveraging Claude Code (commands, sub-agents, skills, plugins) to orchestrate the migration process
- 2Utilizing SDD, TDD (Playwright, Maestro), and specialized agents with unique responsibilities and domain knowledge
- 3Adopting a monorepo structure with Turborepo and pnpm workspaces for the new architecture
Details
The author faced the challenge of migrating a large legacy React Native app (130+ screens, 65+ endpoints, ~7000 LOC of business logic) to a modern architecture. To address this, they implemented a workflow using specialized AI agents, Spec-Driven Development (SDD), and automated TDD. The key idea is to have a read-only 'Legacy Discoverer' agent that analyzes the legacy codebase and provides insights to an 'Opus' agent responsible for writing efficient and accurate SDD documents. This is followed by a team of agents that write tests, develop the new services, perform code reviews, and get final human QA approval. The new architecture is structured as a monorepo using Turborepo and pnpm workspaces, with separate apps for the client, main API, admin panel, and admin API, along with shared packages for types, contracts, and utilities.
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