Architectural risk analysis looks beyond whether individual lines compile. It considers coupling, ownership, interfaces, deployment, data compatibility and whether a change undermines important system constraints.
AI can help surface possible risks, but experienced reviewers provide product and repository context. The analysis should be proportional to traffic, reversibility and the consequence of failure.
ELI5
Architectural risk analysis asks what a software design choice could break or make harder across the whole system. It looks beyond whether one file works and considers how components, data, permissions, and future changes fit together.
For example, moving shared data into a new service may affect security, outages, deployment, and every client that reads it. Because the consequences are broad and not always covered by one test, this work benefits from stronger judgment and careful review.
