P164 · Agent orchestration

Batch Remediation: One Fixer for All Findings

Repair related findings as one owned change wave before scoped re-review.

Editorially reviewed

These examples and illustrative results are independently authored teaching materials, not measured model results.

Use case

Final review finds three related null defects in one parser, interacting through shared logic. Each has trigger/location/check. One owned wave avoids competing edits by one fixer per finding.

Mechanism

Assign the full list, fixed base, allowed scope and per-item checks to one owner. Compare shared causes/distinct obligations, modify coherently and run combined coverage. Map every issue to change/result. Re-review the fix wave plus new breakage, keeping outside observations separate rather than expanding indefinitely.

Bad example

Three fixers edit the same file concurrently, each reporting one pass without integrated behavior or complete-list checks.

Good example

One teaching owner reads all three issues/base. Preserve distinct triggers/checks, coordinate logic, validate together and map changes/results/open items. Review the final fix diff against originals/new breakage, not one pass as whole-wave success. Separate genuinely independent ownership without competing writes.

Why the change matters

One owner sees interactions, while the complete list preserves independent obligations. Combined validation/scoped review retain integration evidence and bound churn.

Observable expectation

An illustrative report accounts for all three and combined behavior. Missing the third trigger or overwriting another fix fails despite one owner.

Re-review follows the actual wave diff/evidence.

Limits

Batch by interaction/ownership, not unrelated risk. Source fixed final-wave counts are workflow choices and cannot silently erase unresolved defects.

Sources and evidence

Read the editorial criteria

Related methods