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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.

A useful plan is tied to actual system constraints, not generic architecture language. This capability does not directly apply a clearly scoped code fix without full redesign.

Mapping a monorepo's authentication architecture would be disproportionate for one missing import identified by a compiler. The changed symbol and file are known, so make the targeted edit and verify it with the focused compilation or test rather than begin broad planning.

A small, well-understood import fix can be made without a separate planning phase, but it still needs verification against the compiler and relevant tests. Skipping the identified failing check leaves no evidence that the dependency resolves or that a new import conflict was not introduced. The keyed principle allows direct editing only when the scope and verification path are clear.

Evaluating a queue versus synchronous calls is an architecture trade-off, not the main risk in renaming a public API endpoint. Inventory dependent mobile and third-party clients, then plan a compatibility or migration window so deployed consumers do not break.

Requiring explicit execution approval is useful for sensitive changes, but it does not identify which old API clients would fail after a rename. The plan must first map external consumers, versioned contracts and a migration sequence, with approval handled at the appropriate execution boundary.

Mobile clients and third-party integrations may update on schedules the team does not control. Removing the endpoint before an inventory and compatibility plan can cause production failures. The architect should document consumers and an explicit migration period.

Separating planning from execution is good governance, but the question asks which phase should identify threats introduced by token refresh and SSO. The design plan must map trust boundaries and security controls before implementation; mere approval of an unexamined plan is insufficient.

Authentication spans trust boundaries and often multiple components. That addresses a different part of the system, not the requirement to design security boundaries before broad implementation.

Session and identity flows are security-critical and require explicit threat and permission assessment. SSO and refresh-token flows can change who is trusted and how sessions are renewed. Treating them as cosmetic UI work ignores credential storage, authorization and authentication failure cases that require dedicated tests.

Generated artifacts should be derived from their sources so regeneration will not silently overwrite a one-off manual edit. Here, a repository migration touches many components with uncertain dependencies. Use plan mode first to inventory changes and validate a migration approach. Planning reduces unintended broad edits when architecture and dependencies are uncertain.

Editing unknown consumers before identifying affected interfaces increases the likelihood of conflicting changes and regression. The planned migration should inventory dependencies, define safe sequencing and verify compatibility before source edits.

An existing CI job is useful after changes, but does not establish which components depend on the migrating interfaces. Writing first risks incompatible updates and difficult rollback. Plan mode should map affected systems and validation requirements before mutation begins.

Reviewing compatibility and rollback scope prevents accidental consumer breakage. Here, an engineer must update a checked-in generated API client after a server schema change. Modify the authoritative generator inputs and rerun code generation with targeted compatibility checks. Generated artifacts should be derived from their sources so regeneration will not silently overwrite a one-off manual edit.

Planning cannot replace actual approval but it can map the safe execution steps. Here, an engineer must update a checked-in generated API client after a server schema change. Modify the authoritative generator inputs and rerun code generation with targeted compatibility checks. Generated artifacts should be derived from their sources so regeneration will not silently overwrite a one-off manual edit.

Deterministic low-risk edits are faster when unnecessary deliberation is avoided. Here, an engineer must update a checked-in generated API client after a server schema change. Modify the authoritative generator inputs and rerun code generation with targeted compatibility checks. Generated artifacts should be derived from their sources so regeneration will not silently overwrite a one-off manual edit.

Planning cannot replace actual approval but it can map the safe execution steps. The required action is “Inspect affected interfaces and obtain a plan before mutating dependent modules”; the other measure addresses a separate concern. Reviewing compatibility and rollback scope prevents accidental consumer breakage.

Deterministic low-risk edits are faster when unnecessary deliberation is avoided. This is not a substitute for “Inspect affected interfaces and obtain a plan before mutating dependent modules”; that control is necessary in the stated circumstances. Reviewing compatibility and rollback scope prevents accidental consumer breakage.

Direct work should preserve scope rather than converting a small request into an unsolicited redesign. Here, a requested refactor could alter public API contracts. Inspect affected interfaces and obtain a plan before mutating dependent modules. Reviewing compatibility and rollback scope prevents accidental consumer breakage.

Deterministic low-risk edits are faster when unnecessary deliberation is avoided. Here, a security patch must be deployed through approved change control. Plan required validations and authorization before executing the change. Planning cannot replace actual approval but it can map the safe execution steps.

Direct work should preserve scope rather than converting a small request into an unsolicited redesign. This is not a substitute for “Plan required validations and authorization before executing the change”; that control is necessary in the stated circumstances. Planning cannot replace actual approval but it can map the safe execution steps.

A safe plan names what is unknown and prevents unsupported changes. Here, a security patch must be deployed through approved change control. Plan required validations and authorization before executing the change. Planning cannot replace actual approval but it can map the safe execution steps.

Direct work should preserve scope rather than converting a small request into an unsolicited redesign. Here, a task is clearly bounded with a known test suite. Execute directly and run the relevant tests afterward. Deterministic low-risk edits are faster when unnecessary deliberation is avoided.

A safe plan names what is unknown and prevents unsupported changes. The required action is “Execute directly and run the relevant tests afterward”; the other measure addresses a separate concern. Deterministic low-risk edits are faster when unnecessary deliberation is avoided.

Planning reduces unintended broad edits when architecture and dependencies are uncertain. Here, a task is clearly bounded with a known test suite. Execute directly and run the relevant tests afterward. Deterministic low-risk edits are faster when unnecessary deliberation is avoided.

A safe plan names what is unknown and prevents unsupported changes. Here, an agent proposes extensive unrelated cleanup during a one-file fix. Reaffirm the bounded task and execute only authorized changes. Direct work should preserve scope rather than converting a small request into an unsolicited redesign.

Planning reduces unintended broad edits when architecture and dependencies are uncertain. The proposed option cannot provide the specific “Reaffirm the bounded task and execute only authorized changes” behavior that the case requires. Direct work should preserve scope rather than converting a small request into an unsolicited redesign.

Generated artifacts should be derived from their sources so regeneration will not silently overwrite a one-off manual edit. The required action is “Reaffirm the bounded task and execute only authorized changes”; the other measure addresses a separate concern. Direct work should preserve scope rather than converting a small request into an unsolicited redesign.

Planning reduces unintended broad edits when architecture and dependencies are uncertain. This is not a substitute for “Surface the unresolved dependency rather than silently choose an assumption”; that control is necessary in the stated circumstances. A safe plan names what is unknown and prevents unsupported changes.

Generated artifacts should be derived from their sources so regeneration will not silently overwrite a one-off manual edit. Here, a plan identifies a critical uncertainty that cannot be resolved from the repository. Surface the unresolved dependency rather than silently choose an assumption. A safe plan names what is unknown and prevents unsupported changes.

Reviewing compatibility and rollback scope prevents accidental consumer breakage. The proposed option cannot provide the specific “Surface the unresolved dependency rather than silently choose an assumption” behavior that the case requires. A safe plan names what is unknown and prevents unsupported changes.