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User-level configuration is intended for personal settings, and committed secrets would expose credentials. A checked-in project definition must reference external secret values.

Instruction files are not secret stores, and tool connections require actual MCP configuration. A shared definition plus externally supplied environment variables meets both needs.

Manual per-person configuration drifts and undermines a portable team integration. A project-scoped template avoids duplication without committing credentials.

Old source paths and behavior may have changed. Continuing without revalidation risks actions grounded in outdated evidence.

Forking supports independent explorations; it does not validate stale findings. A targeted refresh is still needed after modifications.

A full restart discards correct, reusable context and increases cost. The task asks to retain valid findings and revisit only affected parts.

Home-directory files can contain private settings and unshared assumptions. Copying them is neither maintainable nor a controlled team configuration strategy.

Temporary conversation instructions will not reliably apply to later sessions. Stable project guidance belongs in persistent repository configuration.

Documentation can be useful to people, but an unreferenced file may not enter the assistant context. The project instruction mechanism should explicitly load the rules.

Glob matches path patterns rather than file contents. It can narrow candidate files but cannot establish callers by identifier.

Deleting indexes is unrelated to discovering usages and adds unnecessary risk. Dedicated content search and targeted file reads are sufficient.

Wrappers may re-export the function under another name. The search needs to follow aliases instead of treating an initial miss as proof of no call sites.

Duplication wastes tokens and worsens context pressure. An isolated run and concise synthesis are more efficient.

Skills can still be useful when scoped properly. Removing them does not directly address the avoidable context contamination.

Permanent instruction files should contain stable reusable guidance, not huge ephemeral search results. This would increase context cost for unrelated tasks.

A shell alias does not declare conditional instruction loading. The rules directory and its paths metadata are the appropriate configuration mechanism.

Global instructions would apply even while editing production files unrelated to tests. The request explicitly seeks conditional loading.

Duplicated files drift and impose unnecessary instructions on every package. A cross-directory glob is more precise and maintainable.

Wide edits made before choosing a compatible approach can multiply regressions. The task has unresolved design decisions that should be investigated first.

Planning is valuable when uncertainty or scope is high, not as a universal requirement. Small, well-scoped edits can proceed directly.

Assumed interfaces may not match the repository. Dependency discovery is necessary before committing a large migration strategy.

A vague request leaves the edge cases underspecified. Exact inputs and expected values tell the model which behavior must change.

Dropping failing cases hides real requirements and makes the result less reliable. Tests should guide repairs rather than be discarded to obtain green output.

More prose does not identify the faulty branch or the expected date behavior. Specific test evidence is the useful refinement signal.

A generic caution does not specify which comments are truly problematic. It is unlikely to fix the reviewer’s boundary.

Silencing reports also removes legitimate defects. The goal is to improve precision, not eliminate detection.

Severity inflation does not improve validity. The reviewer needs specific evidence-backed criteria for when a comment is actually incorrect.

Eliminating fields evades the requirement rather than resolving incorrect placement. The team still needs accurate values for downstream processing.

An ungrounded numeric fallback increases false extractions. Examples should teach explicit ambiguity handling and preserve uncertain fields.

Examples should illustrate the relevant document ambiguity. Unrelated messages do not teach the extractor to separate the two identifiers.

Valid fields can still hold wrong numbers. Mathematical reconciliation is independent of JSON syntax and field-type checks.

Hiding a mismatch removes important evidence. Preserving both computed and reported totals helps resolve a real data discrepancy.

Arbitrary adjustment fabricates financial information. The pipeline must verify the source and explicitly handle the inconsistency.