Finding repository areas with Jev while retaining alternative paths

Goal

Use a repository taxonomy to propose where a coding agent should inspect next, while preserving alternatives that an early classification might otherwise discard.

Prerequisites

Prepare a revision-pinned directory inventory, short descriptions of candidate areas, and example tasks with reviewer-labelled relevant files. Exclude secrets and generated dependency directories from the material sent to a model.

Steps

1. Build the hierarchy from the actual checkout. Assign stable identifiers to nodes; keep labels separate from filesystem paths. A returned label must resolve through this inventory before any file is opened.

2. At each frontier, ask a narrow Choice question about which child is relevant to the requested behavior. Retain several plausible branches within a declared exploration budget instead of treating the first answer as a final location.

3. Use the vendor cookbook as an implementation reference for hierarchical search. Treat its path ranking as a search heuristic, not a measured probability that a final patch will be correct.

4. Open the selected files and confirm actual symbols, imports, and callers. Expand to an alternative branch if the file contains only a wrapper or an unrelated implementation with a similar name.

5. Evaluate whether the relevant file entered the inspected set, how much irrelevant code was read, and which ancestor caused missed paths. Re-run this check after reorganising directories.

Expected result

The output is a bounded, inspectable search trail linking a task to candidate files. Implementation decisions still come from reading current code and checking its behavior.

Limits and test basis

This adaptation has not been executed here. A taxonomy can omit generated or dynamically registered behavior. Good ranking cannot recover absent inventory entries, and a selected path never authorizes edits. The underlying interface or pattern is described in Hierarchical classification; the workflow above is a proposed adaptation.