Repeatability
Medium
The general pattern — profile, optimize ORM queries, add indexes, implement cursor pagination — is structurally repeatable. However, the specific joins, data shapes, and bottlenecks vary per schema, so each instance requires schema-specific judgment.
Ambiguity Tolerance
Medium
Success criteria are partially clear (endpoint no longer times out, pagination works), but 'optimized' is relative — acceptable query time, index choices, and pagination UX tradeoffs require human sign-off to confirm the bar has been met.
Data & Tool Availability
Low
The agent needs the actual codebase, schema definitions, EXPLAIN ANALYZE output, and ideally a staging database to test against. Without these, it can only produce generic recommendations that may not address the real bottleneck.
Error Cost
Medium
Incorrect indexes or ORM changes can degrade write performance or introduce subtle query bugs. Changes to a production API endpoint carry real risk, though a staging environment and code review can contain most damage.
Human Judgment Required
Medium
Choosing which indexes to add, whether to denormalize, and how to handle pagination edge cases (e.g., cursor stability under concurrent writes) involves tradeoffs that benefit from a senior engineer's review, though the agent can produce a strong first draft.