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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.

Plan mode is the context in which the proposed rewrite was discussed; invoking it again is not the decision criterion. Compare the minor feature's required behavior with a smaller feasible change, assess regression risk, and choose the least disruptive implementation that can be verified.

Architectural questions require comparison and assumptions. The decisive requirement here is to choose proportionate implementation scope. Plan-mode analysis alone does not justify an expensive rewrite. Compare the minimal viable solution and its measurable risks before selecting broad replacement work.

Schema removal can affect multiple consumers. This capability does not directly choose proportionate implementation scope. A dependency inventory can matter for a migration, but the question asks whether a minor feature merits a rewrite at all. Compare limited alternatives and validation cost before expanding scope.

A design document is not authorization to perform side effects. This alternative does not establish how to anchor plans to real code and acceptance tests in the stated workflow.

The error points to a specific bounded correction. Although useful elsewhere, it is not the direct mechanism to anchor plans to real code and acceptance tests.

Memorized paths or yesterday’s ownership assumptions may not match the current codebase. A valid cross-service plan must inspect affected source files, interfaces and tests, document the observed dependencies and name a concrete verification path. Substituting remembered authentication paths cannot establish which components the proposed change actually touches.

A good eval harness catches omissions and regressions. That addresses a different part of the system, not the requirement to improve generation with concrete acceptance examples.

Include the exact relevant compiler diagnostic and the current code context in the next bounded correction attempt. The direct remedy is “Provide representative input/output examples and explicit testable invariants”, which the alternative does not itself accomplish. Concrete examples communicate expected shape and edge cases more directly than vague style instructions.

Repairing the root dependency may resolve several symptoms. This capability does not directly improve generation with concrete acceptance examples. A shared-helper defect is a coding problem, but the observed inconsistency is generated API response shape. Concrete examples and invariants guide the model and make output testable.

Self-generated happy-path fixtures can repeat the same false assumptions as the parser. It would leave the stated need to keep fix cycles focused on measured failures unresolved.

Grouped fixes can improve efficiency when independent, but integration must still be validated. The decisive requirement here is to keep fix cycles focused on measured failures.

A local test validates only a narrow behavior. This alternative does not establish how to keep fix cycles focused on measured failures in the stated workflow.

Fixing a shared helper first makes sense when several failing callers share one root cause. Here the pull request has unrelated lint warnings and a separate integration failure. Tackle independent issues in bounded changes with focused checks, then rerun the integration suite to avoid conflating causes.

Iterative refinement should be driven by observable failure evidence. Although useful elsewhere, it is not the direct mechanism to batch independent corrections while retaining integration checks.

A passing focused test verifies one behavior, not every consumer of a shared formatter. The proposed option cannot provide the specific “Address independent issues in bounded batches with targeted checks, then run an integrated suite” behavior that the case requires. Separate independent lint cleanups from the integration defect and record which checks passed after each edit.

Progress evidence makes restarts and final audits reliable. That addresses a different part of the system, not the requirement to repair common causes before downstream symptoms.

Boundary-case tests strengthen input validation, but two existing failures both trace to one shared helper. Repair and verify that helper first, then rerun dependent tests; writing unrelated boundary tests before correcting the common defect may leave both original failures intact.

Batched independent fixes help when failures have different causes. These tests share a broken helper, so scattering changes across callers risks masking the underlying defect. Fix the common implementation once, validate it directly and then confirm both dependent tests pass.

An execution ledger records what an agent has done, but it cannot resolve absent information about a new dashboard's audience, data sources or success metrics. Ask targeted design questions before generating the dashboard to avoid building an untestable or unsuitable interface.

A compiler error is useful feedback for a specific code defect. The dashboard request instead lacks product requirements before any implementation exists. Clarify user groups, available data and success criteria first rather than treating the ambiguity as a failed code iteration.

Self-generated happy-path fixtures can repeat the same false assumptions as the parser. Although useful elsewhere, it is not the direct mechanism to resolve important missing requirements before writing code.

Grouped fixes can improve efficiency when independent, but integration must still be validated. The proposed option cannot provide the specific “Run relevant regression and integration checks across affected consumers” behavior that the case requires. Broader verification is particularly important for reusable utilities because changed formatting can alter unrelated outputs even when the original bug's local test is green.

Self-generated happy-path fixtures can repeat the same false assumptions as the parser. The scenario instead requires a way to verify downstream behavior after shared-component changes.

Progress evidence makes restarts and final audits reliable. That addresses a different part of the system, not the requirement to verify downstream behavior after shared-component changes.

A deterministic reproduction allows targeted diagnosis. This capability does not directly avoid scope creep during iterative coding. A minimal failing test can isolate a defect, but it will not undo 700 unintended changed lines. The immediate need is to inspect and narrow the diff to the requested function.

Additional malformed-input tests may reveal future edge cases, but the immediate problem is a 700-line diff for one small function. Review the changes and eliminate unrelated modifications first, then run the focused tests for the narrow fix.

A shared-helper-first strategy applies when multiple failures share one root cause. Here the agent changed far more code than a single-function repair requires. Trim the diff to the smallest coherent edit and validate it before attempting broad helper refactoring.

A few targeted questions can prevent wasted coding on the wrong requirements. The scenario instead requires a way to feed observable tool errors into refinement.

Concrete examples communicate expected shape and edge cases more directly than vague style instructions. Although useful elsewhere, it is not the direct mechanism to feed observable tool errors into refinement.

Progress evidence makes restarts and final audits reliable. This alternative does not establish how to feed observable tool errors into refinement in the stated workflow.