Adding Sidekiq logging and retry logic is squarely in AI's coding wheelhouse.

This is a standard Rails/Sidekiq instrumentation pattern with well-established conventions. The structure — add logging middleware or callbacks, configure retry with backoff, write a Rake task — is the same across most Rails apps.

The required outputs are clearly named (logging fields, retry logic, Rake replay task), but details like log format, backoff curve parameters, and dead-letter log schema are unspecified and require reasonable defaults or assumptions.

The agent needs read access to the existing Sidekiq job classes, Gemfile, and any existing error handling to generate code that integrates correctly. Without the codebase, it can produce a high-quality template but not a drop-in solution.

Generated code goes through a human review and test cycle before deployment; no production system is modified directly. Mistakes are caught at code review or test time, making this low-risk to execute.

Logging fields, retry semantics, and Rake task structure are engineering decisions with well-known best practices. No taste, ethics, or relationship context is needed — just solid Rails and Sidekiq knowledge.