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Path-scoped rules load guidance only when files match the targeted language or directory. Here, a repository introduces a new package with its own conventions. Create a dedicated path-scoped rule rather than appending every rule to global guidance. Targeted loading preserves a concise effective instruction context.

Narrow path selection avoids applying unrelated conventions to backend database work. Here, a repository introduces a new package with its own conventions. Create a dedicated path-scoped rule rather than appending every rule to global guidance. Targeted loading preserves a concise effective instruction context.

Independent path conditions keep cross-cutting policy while allowing local conventions. Here, a repository introduces a new package with its own conventions. Create a dedicated path-scoped rule rather than appending every rule to global guidance. Targeted loading preserves a concise effective instruction context.

Centralizing duplicate security rules is useful for consistency, but this pull request explicitly disables backend tests. The issue is a proposed policy weakening. Require policy-level peer review and retain the test requirement unless an authorized decision changes it.

A cross-directory glob can target all backend files, but matching alone does not justify removing mandatory tests. Because.claude/rules affects future agent behavior across the repository, treat the proposed change as a security and quality policy modification requiring review.

A wildcard can capture more files than intended. This alternative does not establish how to govern behavioral configuration through code review in the stated workflow.

Configuration syntax determines whether a rule is loaded. Although useful elsewhere, it is not the direct mechanism to apply writing rules only to documentation files.

Excluding generated JSON addresses machine-generated output, but the stated requirement separates Markdown documentation terminology from code comments. Match documentation.md paths explicitly and test that ordinary code files do not receive the prose rule.

Path-based rules are triggered by applicability. This is not a substitute for “Match documentation markdown paths explicitly instead of all source files”; that control is necessary in the stated circumstances. Match documentation paths or markdown suffixes rather than source code generally.

Comparing a minimal change with a rewrite is a useful optimization after dependencies are understood. This feature spans API, database and frontend with unclear ordering, so plan mode should first map those interfaces and validate the sequencing assumptions before selecting specific code changes.

Frontend compilation does not establish the order or compatibility of API and database modifications. Starting without tracing dependencies can break clients or deploy a schema before its consumers are ready. Plan the dependency path and validation sequence first.

Changes across three dependent layers require planning before any single layer is updated. Frontend authentication behavior often depends on API contracts, database fields and token flows. Editing before mapping those dependencies can create a mismatch that unit tests for the display layer will miss.

A broad refactor is disproportionate to one known spelling correction. It adds unrelated changes and delays verification of the actual line. Read the identified README location, apply the smallest authorized edit and verify the resulting diff instead of introducing a new planning workstream.

Optimizing without a target risks improving the wrong metric. Although useful elsewhere, it is not the direct mechanism to avoid unnecessary planning for trivial edits.

When scope and expected behavior are clear, direct execution keeps the cycle efficient. This alternative does not establish how to avoid unnecessary planning for trivial edits in the stated workflow.

Removing a shared column without inventory or rollback planning can break downstream services. Dropping a database column can break hidden consumers and damage recoverability. Inspect code references, migration compatibility and rollback arrangements before executing a destructive schema change.

Authentication spans trust boundaries and often multiple components. That addresses a different part of the system, not the requirement to assess migration risk prior to destructive edits.

Planning is valuable only when it leads to proportionate decisions. The direct remedy is “Explore dependencies and rollback constraints in plan mode before changes”, which the alternative does not itself accomplish. Inventory references, deployment ordering and rollback before executing potentially destructive migration steps.

A premature commitment prevents the team from comparing latency, load, queue durability and error-handling trade-offs. The decision should be made using documented criteria, not dictated before the evidence is assessed.

Checking the cost of a proposed rewrite can improve a planning decision, but this team is choosing queueing versus synchronous calls under uncertain load. Plan mode should compare traffic profiles, latency targets, failure recovery and operating cost before an architecture is committed.

External dependencies create coordination risk. It would leave the stated need to analyze uncertain system design before implementation unresolved. Endpoint compatibility migration is unrelated to whether queueing or synchronous calls meet uncertain load and latency needs. The team must evaluate those architecture trade-offs first.

A known, localized assertion change does not justify editing unrelated production modules. Broad modifications expand regression risk and obscure which change fixed the test. Correct only the identified assertion and rerun that focused test, checking its actual exit status before concluding that the rename was handled.

Planning is useful for uncertain or high-impact architecture changes, but the scenario explicitly identifies a small test assertion and a known expected behavior. An unverified plan cannot substitute for a targeted correction and its executed regression test. Edit the failing assertion and verify the focused suite, rather than postponing evidence behind unnecessary planning.

Architectural questions require comparison and assumptions. The scenario instead requires a way to make a bounded known correction efficiently. Plan mode is disproportionate when a single known assertion needs correction after an intentional rename. The targeted edit and focused test close this localized failure.

Immediate direct editing is risky when authentication spans many unfamiliar services and trust boundaries. Up-front planning should map current authorization paths, data flows, tests and rollback constraints before one broad change accidentally weakens security across the monorepo.

Unplanned direct changes can cross trust boundaries and regress unrelated services. Editing immediately obscures which application contracts depend on the old login path. The project should first identify token ownership and existing tests, then implement the change in verified stages.

Bulk unreviewed rewrites increase blast radius in a security-sensitive monorepo. Broad shell rewrites can damage unrelated modules without any dependency analysis. Use narrow reads, a reviewed migration plan and scoped edits, with tests tied to each change.

Planning does not replace runtime validation or change review. A plan is a proposed sequence, not evidence that the system remains compatible. Run the selected regression and integration checks after implementation rather than treating planning as a substitute for validation.

A proposed solution is not authorization for side effects. A written plan never grants production deployment permissions. The agent must still honor separate operational approvals, tool constraints and change-management rules when executing or releasing the work.

A useful plan is tied to actual system constraints, not generic architecture language. This is not a substitute for “Clarify and measure performance goals before choosing an optimization plan”; that control is necessary in the stated circumstances. Without a target, an agent may repeatedly change code that already meets requirements or improve speed while reducing correctness, producing unnecessary churn rather than a measurable benefit.

Planning overhead is unnecessary for a small well-understood change. Although useful elsewhere, it is not the direct mechanism to establish measurable goals before ambiguous optimization.

Plan mode can organize an optimization effort, but 'make the app faster' has no measurable success criterion. First ask which workload is slow and capture baseline latency or throughput. Choosing an architecture before defining the target may optimize an irrelevant part of the application.