How to Build an AI Automation Workflow with n8n
Plan an AI automation workflow in n8n with triggers, data cleanup, LLM steps, business rules, integrations, logging, error handling, and human approval.
Technical articles on React Native, Firebase, Android/iOS behavior, cloud backend architecture, AI automation, production debugging, and app publishing.
Waris Labs publishes practical software engineering guides covering mobile development, React Native, Firebase, cloud systems, app publishing, and AI automation.
Plan an AI automation workflow in n8n with triggers, data cleanup, LLM steps, business rules, integrations, logging, error handling, and human approval.
Design a Firestore data model for a React Native fitness app with user-specific documents, daily records, offline behavior, and read-efficient queries.
A practical production checklist for React Native Android apps covering release builds, versioning, signing, testing tracks, privacy, data safety, and Play Console readiness.
Learn how scheduled local notifications continue to work on Android and iOS when a React Native app is foregrounded, backgrounded, or terminated.
Related articles are grouped statically so readers can move through one subject without thin tag pages.
React Native guides covering lifecycle behavior, Firebase integration, local-first data, Android/iOS production differences, and release-mode debugging.
Firebase architecture notes for authentication, Firestore data modeling, offline sync, scheduled Cloud Functions, FCM, and user-owned data.
Android and Google Play publishing guidance for testing tracks, target requirements, release builds, native crashes, and page-size compatibility.
Applied AI automation guides focused on workflow design, structured extraction, business rules, error handling, logging, and human approval.
Understand Android 16 KB memory page size support, why native libraries matter, and how React Native teams can verify release builds before Play submission.
Plan an AI automation workflow in n8n with triggers, data cleanup, LLM steps, business rules, integrations, logging, error handling, and human approval.
Design a scalable scheduled push notification system with Firebase Cloud Functions, Firestore queues, FCM, pagination, retries, and safe batch processing.
Design a Firestore data model for a React Native fitness app with user-specific documents, daily records, offline behavior, and read-efficient queries.
Understand how Google Play internal testing, closed testing, open testing, and production tracks differ, and how React Native teams should use each track.
Design a local-first React Native app that works offline, stores data locally, syncs with Firebase safely, handles conflicts, and avoids unnecessary Firestore reads.
A practical production checklist for React Native Android apps covering release builds, versioning, signing, testing tracks, privacy, data safety, and Play Console readiness.
Debug React Native Android crashes that appear only in release builds, including native crashes, JavaScript crashes, R8 issues, dependency conflicts, and Play Console stack traces.
Set up Firebase Authentication in a React Native app with auth state handling, profile separation, password reset, error handling, and production security checks.
Learn how scheduled local notifications continue to work on Android and iOS when a React Native app is foregrounded, backgrounded, or terminated.