Repeatability
High
This is a standard backend refactoring pattern — replace eager loading with streaming, add batched writes, collect error stats. The structure is nearly identical across Java Spring Boot projects, making it highly repeatable.
Ambiguity Tolerance
High
Success criteria are explicit: no OOM on 100 MB files, line-by-line streaming, 5K-row batch inserts, and a summary report with row counts, errors, and timing. An agent can verify most of these programmatically.
Data & Tool Availability
Medium
The agent needs access to the existing codebase, the PostgreSQL schema, and any row validation rules — these may not be fully documented and require inspection of existing code. If the agent has repo access and can read the schema, this is tractable.
Error Cost
Medium
A buggy implementation could silently drop rows, corrupt data, or introduce transaction boundary errors — all recoverable with proper testing, but dangerous if merged without review. Code review before deployment keeps risk manageable.
Human Judgment Required
Low
The task is almost entirely mechanical: apply known streaming and batching patterns in Java. Validation logic may need domain input, but the structural refactoring requires no taste or ethical judgment.