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Complete production readiness checklist for AI products: multi-tenancy, LLM provider selection, rate limiting, observability, privacy, content moderation, compliance, and incident response.
AI is no longer a feature—it''s infrastructure. Here''s what backend engineers actually need to learn in 2026 and what''s hype.
Implement a Backend for Frontend to aggregate services, optimize payloads per client, and simplify authentication, making each client experience seamless.
A comprehensive performance checklist across all layers—database, application, caching, network, and edge.
Build durable background job systems resistant to timeouts, poison pills, and duplication. Implement heartbeats, deduplication, and observability patterns.