Outcome
Ship AI features with streaming, queues, resumability, tenant isolation, provider fallback, feature flags, and clean API contracts.
Advanced Interfaces · Days 94-100
AI Application Architecture
AI app architecture connects model calls to product systems: streaming, background jobs, resumable agent runs, tenant-level key management, fallback chains, feature flags, and APIs for cancel/retry/partial results.
Advanced 7 subtopics 7 daily blocks
Practice builds
Streaming chat APIDurable agent runnerMulti-tenant AI gateway
What to learn
Streaming over SSE, WebSockets, and HTTP chunked responses
Background jobs and queues for long agent runs
Idempotency and resumability of agent runs
Multi-tenant prompt and key management
Fallback chains across providers
Feature flags for prompts and models
API design patterns for AI features: cancel, retry, partial results
Daily study plan
Day 94: Design an AI feature API with start, stream, cancel, retry, and result endpoints.
Day 95: Implement SSE streaming for partial model output.
Day 96: Move long runs to a queue and persist job state.
Day 97: Add idempotency keys and safe retry semantics.
Day 98: Add tenant-scoped model settings, API keys, and prompt versions.
Day 99: Add provider fallback and feature flags for model rollout.
Day 100: Write a production-readiness checklist for AI features.