I'll perform a structured backend review using a repeatable workflow to assess API reliability, security, and supportability.

REVIEW CATEGORIES
ERROR HANDLING: Do all endpoints catch exceptions? Do errors return meaningful status codes and messages that support can relay to customers? Are connection timeouts and retry logic present?

LOGGING & OBSERVABILITY: Does every endpoint log request/response? Are errors logged with context (user ID, request ID, params)? Can support trace a customer issue backward through logs?

API CONTRACTS: Are request/response schemas documented? Do endpoints validate input (type, length, required fields)? Does API versioning exist?

SECURITY AUDIT: Authentication on every protected route? Rate limiting on public endpoints? SQL injection risk in queries? Credential management (no hardcoded secrets)?

DATA LAYER: N+1 query problems? Inefficient queries? Are there database indexes on frequently-queried fields?

CODE STRUCTURE: Repeated logic that should be extracted? Single responsibility principle followed? Dependency injection or tightly coupled?

TESTING: Unit test coverage for critical paths? Integration tests for API flows? Do tests cover happy path and error cases?

DELIVERABLE
A structured report with: findings grouped by severity (Critical/Major/Minor/Nit), specific code locations cited, actionable fixes, and a score (e.g. "78/100, support-ready after addressing 3 major items").