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The alternative ask for a review-only plan and explicitly forbid changing infrastructure addresses a prompt says fix Terraform without identifying whether apply is permitted (execution boundaries prevent an analysis request from becoming an unauthorized deployment), whereas the present requirement is a prompt says use the cheapest solution but omits reliability needs.

For the situation where a prompt says implement a dropdown but omits keyboard behavior, specify arrow-key navigation, focus management, and screen-reader labeling is appropriate since user interaction requirements must be present in the prompt to be validated; it does not resolve a prompt says use the cheapest solution but omits reliability needs.

State required region and allowed service geography at the top of the prompt has a different scope: missing residency constraints can make otherwise valid architectural suggestions unusable when a response ignores the team's data residency constraint; the current scenario instead concerns a prompt says use the cheapest solution but omits reliability needs.

Include the repository's test framework and current component API is useful when a reviewer asks for a test but does not say which framework is installed because tooling details reduce invented dependencies and incompatible test syntax; this case instead asks how to address the engineer asks what does this do without marking the relevant symbol.

The alternative state an allowlist and require no new dependencies unless approved addresses the prompt allows any package even though builds are restricted to approved dependencies (dependency policy is a design constraint, not an optimization the model may override), whereas the present requirement is the engineer asks what does this do without marking the relevant symbol.

For the situation where the project uses an unfamiliar local state-management pattern, add a short factual description of the pattern and relevant implementation example is appropriate since copilot cannot reliably infer undocumented project conventions from a generic prompt; it does not resolve the engineer asks what does this do without marking the relevant symbol.

For the situation where the prompt allows any package even though builds are restricted to approved dependencies, state an allowlist and require no new dependencies unless approved is appropriate since dependency policy is a design constraint, not an optimization the model may override; it does not resolve the project uses an unfamiliar local state-management pattern.

Include the failing stack trace, environment, and reproducible steps has a different scope: failure evidence lets the assistant distinguish probable causes from guesses when the user asks to fix a crash but only supplies the success-path code; the current scenario instead concerns the project uses an unfamiliar local state-management pattern.

The alternative include repository code-style constraints or applicable custom instructions addresses the assistant produces a class that violates project formatting rules (explicit conventions improve compatibility with automated formatters and review standards), whereas the present requirement is the project uses an unfamiliar local state-management pattern.

For the situation where the prompt allows any package even though builds are restricted to approved dependencies, state an allowlist and require no new dependencies unless approved is appropriate since dependency policy is a design constraint, not an optimization the model may override; it does not resolve the user asks to fix a crash but only supplies the success-path code.

Provide representative row counts, memory constraints, and latency targets has a different scope: an optimization appropriate for tiny inputs may fail at production scale when a user asks Copilot to optimize a function without specifying data volume; the current scenario instead concerns the user asks to fix a crash but only supplies the success-path code.

Add a short factual description of the pattern and relevant implementation example is useful when the project uses an unfamiliar local state-management pattern because copilot cannot reliably infer undocumented project conventions from a generic prompt; this case instead asks how to address the user asks to fix a crash but only supplies the success-path code.

Reference the exact function and related caller as context is useful when the engineer asks what does this do without marking the relevant symbol because named symbols and selected code help the assistant focus on the real behavior; this case instead asks how to address the prompt allows any package even though builds are restricted to approved dependencies.

The alternative add a short factual description of the pattern and relevant implementation example addresses the project uses an unfamiliar local state-management pattern (copilot cannot reliably infer undocumented project conventions from a generic prompt), whereas the present requirement is the prompt allows any package even though builds are restricted to approved dependencies.

For the situation where the prompt includes a real customer record to show the bug, replace live values with sanitized sample records preserving the failing structure is appropriate since real data is unnecessary when synthetic inputs reproduce the behavior; it does not resolve the prompt allows any package even though builds are restricted to approved dependencies.

Restate the authoritative constraints and attach relevant files has a different scope: context and history may be lost between sessions or replaced by unrelated material when the developer restarts the chat without carrying over current acceptance criteria; the current scenario instead concerns the first response omitted validation of empty input arrays.

Use automated tests rather than depending on repeatable model wording is useful when the team wants a deterministic proof that a prompt will always return the same program because model output variability makes correctness checks more reliable than textual reproducibility; this case instead asks how to address the first response omitted validation of empty input arrays.

For the situation where the response installs a latest dependency rather than the approved pinned version, reiterate the lockfile and version-pinning requirement, then review the diff is appropriate since reproducibility depends on fixed dependency versions and an auditable build definition; it does not resolve the first response omitted validation of empty input arrays.

For the situation where security findings become inaccurate because chat history mentions an obsolete endpoint, begin a clean scoped session using current API contracts is appropriate since stale conversation context can misdirect analysis when interfaces change; it does not resolve the developer restarts the chat without carrying over current acceptance criteria.

Use automated tests rather than depending on repeatable model wording has a different scope: model output variability makes correctness checks more reliable than textual reproducibility when the team wants a deterministic proof that a prompt will always return the same program; the current scenario instead concerns the developer restarts the chat without carrying over current acceptance criteria.

Provide focused feedback with the failing test and request only the missing branch is useful when the first response omitted validation of empty input arrays because iterative prompting works best when feedback identifies a measurable defect; this case instead asks how to address the developer restarts the chat without carrying over current acceptance criteria.

The alternative restate the authoritative constraints and attach relevant files addresses the developer restarts the chat without carrying over current acceptance criteria (context and history may be lost between sessions or replaced by unrelated material), whereas the present requirement is an assistant is asked to reason about a refactor involving unfamiliar async behavior.

For the situation where a one-time migration checklist is accidentally applied to unrelated front-end tasks, move the checklist to a specifically invoked prompt file is appropriate since reusable task prompts are selected when needed instead of influencing every interaction; it does not resolve an assistant is asked to reason about a refactor involving unfamiliar async behavior.

Use automated tests rather than depending on repeatable model wording is useful when the team wants a deterministic proof that a prompt will always return the same program because model output variability makes correctness checks more reliable than textual reproducibility; this case instead asks how to address an assistant is asked to reason about a refactor involving unfamiliar async behavior.

Put stable conventions into repository-wide custom instructions is useful when the team wants TypeScript style guidance applied across all tasks because always-on project context is better suited to durable coding standards; this case instead asks how to address the team wants a deterministic proof that a prompt will always return the same program.

The alternative ask it to outline assumptions and a verification plan before proposing edits addresses an assistant is asked to reason about a refactor involving unfamiliar async behavior (exposing assumptions supports review and avoids premature acceptance of guesses), whereas the present requirement is the team wants a deterministic proof that a prompt will always return the same program.

Provide focused feedback with the failing test and request only the missing branch has a different scope: iterative prompting works best when feedback identifies a measurable defect when the first response omitted validation of empty input arrays; the current scenario instead concerns the team wants a deterministic proof that a prompt will always return the same program.

Require it to identify missing observations and mark hypotheses has a different scope: prompts should elicit calibrated uncertainty rather than force fabricated certainty when an assistant states a recommendation with no uncertainty despite missing logs; the current scenario instead concerns every new reviewer writes a different ad-hoc instruction for the same threat model.

Check the relevant client's customization support and test behavior is useful when a developer assumes the assistant must obey every custom instruction in every IDE version because instruction support is feature-specific and model adherence is not guaranteed; this case instead asks how to address every new reviewer writes a different ad-hoc instruction for the same threat model.

The alternative begin a clean scoped session using current API contracts addresses security findings become inaccurate because chat history mentions an obsolete endpoint (stale conversation context can misdirect analysis when interfaces change), whereas the present requirement is every new reviewer writes a different ad-hoc instruction for the same threat model.

For the situation where the prompt demands an answer based on citations but supplies only a model summary, attach the actual evidence sources and require specific source-linked conclusions is appropriate since a generated summary is not the same as inspectable primary evidence; it does not resolve security findings become inaccurate because chat history mentions an obsolete endpoint.

Restate the authoritative constraints and attach relevant files is useful when the developer restarts the chat without carrying over current acceptance criteria because context and history may be lost between sessions or replaced by unrelated material; this case instead asks how to address security findings become inaccurate because chat history mentions an obsolete endpoint.

The alternative create a reviewed reusable prompt file with explicit inputs and findings format addresses every new reviewer writes a different ad-hoc instruction for the same threat model (task templates can reduce omitted checks without replacing security expertise), whereas the present requirement is security findings become inaccurate because chat history mentions an obsolete endpoint.