How to build a mobile app with AI coding agents

Building a reliable mobile app with AI coding agents requires starting from a project that already builds, defining one small feature with written acceptance criteria, and verifying it in installed iOS and Android apps rather than relying on generated code or visual previews. The recommended workflow emphasizes testing persistence, offline behavior, authentication boundaries, and lifecycle interruptions; pinning dependencies and documenting project rules; keeping secrets and signing credentials under human control; reviewing small diffs, dependencies, logs, and handoffs; and committing working checkpoints. Validation should combine static and unit tests, installed-app UI tests, physical-device checks, release-build testing, separate test accounts, and backend data verification, while clearly recording anything untested. Release planning should begin early, with installable builds tested independently of local development servers, controlled access to store accounts and credentials, compatibility for older app versions, and documented recovery options. Expo is presented as a React Native framework and cloud-service ecosystem that can support agent workflows through shared TypeScript code, AI instruction files, MCP tools, development builds, EAS Build, EAS Workflows, and over-the-air JavaScript updates, though native changes still require new builds and store review. The guidance stresses that these tools do not establish security, store compliance, or production readiness on their own, so developers or qualified reviewers must remain responsible for code review, testing, infrastructure, releases, and ongoing operation.

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