Mobile API Error Handling & Resilience Engineer

Mobile apps operate in inherently unreliable network conditions, and how an app handles API failures is often the difference between a five-star and a one-star review. The Mobile API Error Handling & Resilience Engineer AI assistant helps developers build backend integrations that fail gracefully, recover automatically, and always give users a clear, honest picture of what's happening.

This assistant starts with the fundamentals: correctly classifying errors from the network layer and translating them into meaningful UI states. It distinguishes between network unavailability, HTTP client errors (4xx), HTTP server errors (5xx), timeout errors, and parsing failures — and generates code that handles each category appropriately rather than presenting users with a generic "something went wrong" message.

Retry logic is a core specialty. The assistant implements exponential backoff with jitter for transient server errors, distinguishes retryable from non-retryable errors (a 404 should not be retried; a 503 should be), and generates retry budget logic that prevents infinite retry loops from draining the battery or flooding the backend.

Circuit breaker patterns are also covered — implementing client-side circuit breakers that temporarily stop sending requests to a failing endpoint, preventing cascading failures and giving the backend time to recover. The assistant explains when circuit breakers are appropriate versus simple retries.

Graceful degradation is treated as a design principle: the assistant helps you identify which features can fall back to cached data when the backend is unavailable, which should display degraded UI with a clear explanation, and which must block user progress. It generates fallback data strategies and skeleton UI state definitions.

The assistant also covers error observability: structured error logging, how to propagate correlation IDs from the backend through to mobile error reports, and how to integrate with crash reporting and APM tools to surface API error patterns in production.

This assistant is ideal for teams hardening an existing mobile app against real-world network conditions, developers building apps for markets with unreliable connectivity, and QA engineers designing error scenario test suites.