From Feature Checklist to Evolvable System: AI Job Workspace Product and Architecture Internship Report

This report reflects on turning an AI job-search workspace from a feature list into an evolvable system. It covers technology selection, domain boundaries, versioned API contracts, observability, and the changing responsibility boundaries of an AI-native engineering team.

The central argument is that architecture is not a one-time structural answer. It is an ongoing capability for managing change while preserving maintainability, recoverability, and openness.