Microsoft GH-300 Bundle

The alternative "Keep the relevant correction in the conversation context" fits another situation: A chat answer depends on an earlier correction to a function signature. Conversation history can influence subsequent model output. Here the condition is A user expects one chat's context to automatically appear in a new unrelated session; use "Carry over a concise approved summary and explicit file references" instead. New sessions may not inherit implicit conversational state.

The alternative "Reintroduce the key requirement and inspect the context window" addresses A long session loses track of an instruction from many turns ago. Context compaction can omit older details. It does not resolve A user expects one chat's context to automatically appear in a new unrelated session; the correct choice is "Carry over a concise approved summary and explicit file references". New sessions may not inherit implicit conversational state.

For the different scenario A large tool log overwhelms a debugging conversation, "Summarize the relevant errors instead of pasting all logs" could be appropriate. Tool results consume the same context budget as user instructions. The present requirement is A user expects one chat's context to automatically appear in a new unrelated session, which calls for "Carry over a concise approved summary and explicit file references". New sessions may not inherit implicit conversational state.

For the different scenario A candidate is filtered by matching-code policy and never appears in the editor, "Distinguish server filtering from the model's ability to generate text" could be appropriate. Output controls may suppress suggestions after generation. The present requirement is A prediction appears as ghost text in an editor but has not been accepted, which calls for "Treat the ghost text as a candidate and inspect it first". Presentation of a suggestion does not change checked-in source.

The action "Run security tests and review the final code diff" is useful when An accepted completion compiles but introduces an authorization bug. Acceptance ends the interaction, not the responsibility to validate behavior. Under the stated condition A prediction appears as ghost text in an editor but has not been accepted, instead choose "Treat the ghost text as a candidate and inspect it first". Presentation of a suggestion does not change checked-in source.

The alternative "Compare candidates against the contract before selecting one" fits another situation: An editor exposes alternate completions for a partial method. Selection is a developer-controlled stage of the suggestion lifecycle. Here the condition is A prediction appears as ghost text in an editor but has not been accepted; use "Treat the ghost text as a candidate and inspect it first" instead. Presentation of a suggestion does not change checked-in source.

"Run security tests and review the final code diff" targets An accepted completion compiles but introduces an authorization bug. Acceptance ends the interaction, not the responsibility to validate behavior. That differs from A developer accepts an inline completion and later discovers a public-code match; the required decision here is "Review the recorded reference for that accepted suggestion". Accepted unchanged matching suggestions can produce source-reference entries.

The action "Treat the ghost text as a candidate and inspect it first" is useful when A prediction appears as ghost text in an editor but has not been accepted. Presentation of a suggestion does not change checked-in source. Under the stated condition A developer accepts an inline completion and later discovers a public-code match, instead choose "Review the recorded reference for that accepted suggestion". Accepted unchanged matching suggestions can produce source-reference entries.

The alternative "Distinguish server filtering from the model's ability to generate text" addresses A candidate is filtered by matching-code policy and never appears in the editor. Output controls may suppress suggestions after generation. It does not resolve A developer accepts an inline completion and later discovers a public-code match; the correct choice is "Review the recorded reference for that accepted suggestion". Accepted unchanged matching suggestions can produce source-reference entries.

The action "Treat the ghost text as a candidate and inspect it first" is useful when A prediction appears as ghost text in an editor but has not been accepted. Presentation of a suggestion does not change checked-in source. Under the stated condition An editor exposes alternate completions for a partial method, instead choose "Compare candidates against the contract before selecting one". Selection is a developer-controlled stage of the suggestion lifecycle.

The alternative "Review the recorded reference for that accepted suggestion" fits another situation: A developer accepts an inline completion and later discovers a public-code match. Accepted unchanged matching suggestions can produce source-reference entries. Here the condition is An editor exposes alternate completions for a partial method; use "Compare candidates against the contract before selecting one" instead. Selection is a developer-controlled stage of the suggestion lifecycle.

For the different scenario An accepted completion compiles but introduces an authorization bug, "Run security tests and review the final code diff" could be appropriate. Acceptance ends the interaction, not the responsibility to validate behavior. The present requirement is An editor exposes alternate completions for a partial method, which calls for "Compare candidates against the contract before selecting one". Selection is a developer-controlled stage of the suggestion lifecycle.

The alternative "Review the recorded reference for that accepted suggestion" addresses A developer accepts an inline completion and later discovers a public-code match. Accepted unchanged matching suggestions can produce source-reference entries. It does not resolve A candidate is filtered by matching-code policy and never appears in the editor; the correct choice is "Distinguish server filtering from the model's ability to generate text". Output controls may suppress suggestions after generation.

For the different scenario An editor exposes alternate completions for a partial method, "Compare candidates against the contract before selecting one" could be appropriate. Selection is a developer-controlled stage of the suggestion lifecycle. The present requirement is A candidate is filtered by matching-code policy and never appears in the editor, which calls for "Distinguish server filtering from the model's ability to generate text". Output controls may suppress suggestions after generation.

"Treat the ghost text as a candidate and inspect it first" targets A prediction appears as ghost text in an editor but has not been accepted. Presentation of a suggestion does not change checked-in source. That differs from A candidate is filtered by matching-code policy and never appears in the editor; the required decision here is "Distinguish server filtering from the model's ability to generate text". Output controls may suppress suggestions after generation.

The alternative "Distinguish server filtering from the model's ability to generate text" addresses A candidate is filtered by matching-code policy and never appears in the editor. Output controls may suppress suggestions after generation. It does not resolve An accepted completion compiles but introduces an authorization bug; the correct choice is "Run security tests and review the final code diff". Acceptance ends the interaction, not the responsibility to validate behavior.

"Review the recorded reference for that accepted suggestion" targets A developer accepts an inline completion and later discovers a public-code match. Accepted unchanged matching suggestions can produce source-reference entries. That differs from An accepted completion compiles but introduces an authorization bug; the required decision here is "Run security tests and review the final code diff". Acceptance ends the interaction, not the responsibility to validate behavior.

The action "Compare candidates against the contract before selecting one" is useful when An editor exposes alternate completions for a partial method. Selection is a developer-controlled stage of the suggestion lifecycle. Under the stated condition An accepted completion compiles but introduces an authorization bug, instead choose "Run security tests and review the final code diff". Acceptance ends the interaction, not the responsibility to validate behavior.

"Add race-condition and load tests before release" targets A generated code fix solves the sample but fails under heavy concurrency. Language models cannot guarantee concurrent correctness from examples alone. That differs from Copilot names a feature unavailable in the team's installed editor version; the required decision here is "Consult version-specific documentation and feature matrix". General model knowledge does not prove current client support.

The action "Provide the source file before relying on the explanation" is useful when An AI answer confidently explains a private function it has never read. Model inference cannot know hidden implementation details. Under the stated condition Copilot names a feature unavailable in the team's installed editor version, instead choose "Consult version-specific documentation and feature matrix". General model knowledge does not prove current client support.

The alternative "Align dependencies and prompts with the current lockfile" fits another situation: A code sample references a package removed from a repository months ago. Stale assumptions can persist when context is incomplete. Here the condition is Copilot names a feature unavailable in the team's installed editor version; use "Consult version-specific documentation and feature matrix" instead. General model knowledge does not prove current client support.

The action "Validate against the API's current changelog and pinned version" is useful when A model asserts that an external API never changes. Platform interfaces evolve over time. Under the stated condition A generated code fix solves the sample but fails under heavy concurrency, instead choose "Add race-condition and load tests before release". Language models cannot guarantee concurrent correctness from examples alone.

The alternative "Align dependencies and prompts with the current lockfile" fits another situation: A code sample references a package removed from a repository months ago. Stale assumptions can persist when context is incomplete. Here the condition is A generated code fix solves the sample but fails under heavy concurrency; use "Add race-condition and load tests before release" instead. Language models cannot guarantee concurrent correctness from examples alone.

The alternative "Consult version-specific documentation and feature matrix" addresses Copilot names a feature unavailable in the team's installed editor version. General model knowledge does not prove current client support. It does not resolve A generated code fix solves the sample but fails under heavy concurrency; the correct choice is "Add race-condition and load tests before release". Language models cannot guarantee concurrent correctness from examples alone.

The alternative "Provide the source file before relying on the explanation" addresses An AI answer confidently explains a private function it has never read. Model inference cannot know hidden implementation details. It does not resolve A model asserts that an external API never changes; the correct choice is "Validate against the API's current changelog and pinned version". Platform interfaces evolve over time.

For the different scenario Copilot names a feature unavailable in the team's installed editor version, "Consult version-specific documentation and feature matrix" could be appropriate. General model knowledge does not prove current client support. The present requirement is A model asserts that an external API never changes, which calls for "Validate against the API's current changelog and pinned version". Platform interfaces evolve over time.

"Add race-condition and load tests before release" targets A generated code fix solves the sample but fails under heavy concurrency. Language models cannot guarantee concurrent correctness from examples alone. That differs from A model asserts that an external API never changes; the required decision here is "Validate against the API's current changelog and pinned version". Platform interfaces evolve over time.

The alternative "Add race-condition and load tests before release" addresses A generated code fix solves the sample but fails under heavy concurrency. Language models cannot guarantee concurrent correctness from examples alone. It does not resolve An AI answer confidently explains a private function it has never read; the correct choice is "Provide the source file before relying on the explanation". Model inference cannot know hidden implementation details.

"Validate against the API's current changelog and pinned version" targets A model asserts that an external API never changes. Platform interfaces evolve over time. That differs from An AI answer confidently explains a private function it has never read; the required decision here is "Provide the source file before relying on the explanation". Model inference cannot know hidden implementation details.

The action "Align dependencies and prompts with the current lockfile" is useful when A code sample references a package removed from a repository months ago. Stale assumptions can persist when context is incomplete. Under the stated condition An AI answer confidently explains a private function it has never read, instead choose "Provide the source file before relying on the explanation". Model inference cannot know hidden implementation details.

For the different scenario A model asserts that an external API never changes, "Validate against the API's current changelog and pinned version" could be appropriate. Platform interfaces evolve over time. The present requirement is A code sample references a package removed from a repository months ago, which calls for "Align dependencies and prompts with the current lockfile". Stale assumptions can persist when context is incomplete.

"Provide the source file before relying on the explanation" targets An AI answer confidently explains a private function it has never read. Model inference cannot know hidden implementation details. That differs from A code sample references a package removed from a repository months ago; the required decision here is "Align dependencies and prompts with the current lockfile". Stale assumptions can persist when context is incomplete.

The alternative "Consult version-specific documentation and feature matrix" fits another situation: Copilot names a feature unavailable in the team's installed editor version. General model knowledge does not prove current client support. Here the condition is A code sample references a package removed from a repository months ago; use "Align dependencies and prompts with the current lockfile" instead. Stale assumptions can persist when context is incomplete.