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Specify a clear structured output schema and forbidden extra prose. The prior failure was: A team needs a machine-readable report of test failures. Which outcome demonstrates that the original issue is resolved?
The proposed result specifically establishes success rather than merely showing that a configuration exists. Output constraints help downstream validation. It is the observable consequence of the selected intervention.
This result would validate a different action: Ask for a ranked diagnostic plan with experiments rather than an unverified fix. It applies when a failing integration test has several possible causes and no reproduction instructions, not to the failure being reviewed here.
This result would validate a different action: Provide representative input-output examples alongside the rules. It applies when a domain parser must recognize a nonstandard but repeated log format, not to the failure being reviewed here.
This result would validate a different action: Provide source/target schemas, target version and rollout constraints. It applies when a developer asks for a migration but supplies no schema or DB version, not to the failure being reviewed here.
A developer spends hours finding where payment retries are configured. What should the team implement or verify first?
This intervention is proportionate to the problem. Code navigation can reduce context switching when scoped. Its acceptance evidence is that the identified call site actually controls retry scheduling.
Natural-language explanations help learning when tested against behavior. That makes this relevant when a junior engineer cannot understand a compact regex controlling access paths, whereas this scenario has a different controlling requirement and acceptance test.
Static appearances alone do not prove dynamic code is dead. That makes this relevant when copilot flags a helper as unused but it is loaded dynamically by plugins, whereas this scenario has a different controlling requirement and acceptance test. Here the controlling problem is a developer spends hours finding where payment retries are configured, and the proposal must meet that constraint.
Explanations accelerate learning when treated as hypotheses. That makes this relevant when a junior engineer wants help learning why a PR's error handling is unsafe, whereas this scenario has a different controlling requirement and acceptance test. Here the controlling problem is a developer spends hours finding where payment retries are configured, and the proposal must meet that constraint.
An AI test helper disables certificate checks to make an internal HTTPS test pass. Choose the intervention that resolves the underlying issue.
Fix certificate trust and keep TLS validation enabled. This directly addresses the stated constraint: Skipping verification permits connection to untrusted endpoints. The decision can be tested by checking that the service connects using a validated chain and rejects a forged certificate.
Although technically useful, this addresses an agent reports that all tests pass but its transcript contains no test execution. The stated constraint instead needs a change whose evidence is: The service connects using a validated chain and rejects a forged certificate.
Although technically useful, this addresses copilot rewrites a public response type while adding a small internal validation rule. The stated constraint instead needs a change whose evidence is: The service connects using a validated chain and rejects a forged certificate.
Although technically useful, this addresses a code change and its generated test both omit the same failure branch. The stated constraint instead needs a change whose evidence is: The service connects using a validated chain and rejects a forged certificate.
A team repeatedly asks for the same risk analysis and test outline. Which proposed response is appropriate without increasing unrelated risk?
The key is the specific capability, not simply the fact that AI suggested it. Prompt files capture task-specific instructions for intentional reuse. In this case the proposed action is store a reusable .github/prompts/*.prompt.md task prompt in a supported client; confirm it through the concrete expected result.
This is a reasonable intervention for the separate case "CLI prompt specificity". Its value is a bounded task reduces risk of unwanted repo-wide edits, not resolving the current requirement. Here the controlling problem is a team repeatedly asks for the same risk analysis and test outline, and the proposal must meet that constraint.
This is a reasonable intervention for the separate case "Path instructions". Its value is path-specific rules supply targeted context without cluttering all prompts, not resolving the current requirement. Here the controlling problem is a team repeatedly asks for the same risk analysis and test outline, and the proposal must meet that constraint.
This is a reasonable intervention for the separate case "CLI first login". Its value is interactive CLI access requires user authentication unless a supported BYOK path applies, not resolving the current requirement.
A new engineer needs a map of services, tests and build commands. What is the defensible engineering decision?
This intervention is proportionate to the problem. Copilot can reduce search overhead if sources are explicit. Its acceptance evidence is that the suggested build command works and the service map names real packages.
This measure fits a different failure: a generated repository method handles normal names but not quote characters. In that situation special input can expose injection vulnerabilities. It does not establish the requested outcome: the suggested build command works and the service map names real packages.
This measure fits a different failure: a team modernizes an old Python module using unsupported string formatting conventions. In that situation language upgrades should respect the deployed interpreter version. It does not establish the requested outcome: the suggested build command works and the service map names real packages.
This measure fits a different failure: a new REST endpoint needs validation, error mapping and a test skeleton. In that situation automation saves repetitive typing, not domain-specific review. It does not establish the requested outcome: the suggested build command works and the service map names real packages.
A security team wants consistent guidance for all engineering repositories. Which step should the responsible reviewer require?
Use supported organization custom instructions or repository instruction governance. This directly addresses the stated constraint: Higher-scope instructions can influence supported Copilot surfaces. The decision can be tested by checking that an eligible review includes the expected organization guidance.
Path-specific rules supply targeted context without cluttering all prompts. That makes this relevant when a monorepo's backend files require different conventions from frontend modules, whereas this scenario has a different controlling requirement and acceptance test. Here the controlling problem is a security team wants consistent guidance for all engineering repositories, and the proposal must meet that constraint.
Repository custom instructions provide persistent context where the feature supports them. That makes this relevant when a code assistant keeps choosing tabs although the repository mandates four-space indentation, whereas this scenario has a different controlling requirement and acceptance test.
Copilot subscription rights do not grant repository permissions. That makes this relevant when a team wants users with Chat entitlement to read private repos they cannot normally access, whereas this scenario has a different controlling requirement and acceptance test. Here the controlling problem is a security team wants consistent guidance for all engineering repositories, and the proposal must meet that constraint.
A refactor spans backend and tests with unclear dependencies. What choice best matches the actual acceptance criteria?
The key is the specific capability, not simply the fact that AI suggested it. Understanding dependencies reduces partial edits. In this case the proposed action is request an impact map of call sites before any code changes; confirm it through the concrete expected result.
Although technically useful, this addresses an agent makes unwanted stylistic changes while addressing a logic bug. The stated constraint instead needs a change whose evidence is: The plan identifies consumers and data contracts before mutation.
Although technically useful, this addresses a large refactor asks Copilot to discover, design, edit, test and deploy in one unbounded instruction. The stated constraint instead needs a change whose evidence is: The plan identifies consumers and data contracts before mutation.
Although technically useful, this addresses copilot rewrites a deprecated helper after being asked to fix a current service. The stated constraint instead needs a change whose evidence is: The plan identifies consumers and data contracts before mutation.
Use diverse examples and a held-out validation set. The prior failure was: Examples accidentally teach the parser to hardcode a particular invoice number. What test result supports the change rather than merely confirming it was configured?
This is the acceptance signal tied to the issue: Unseen invoice IDs are parsed without hardcoded values. It is causally related because few-shot prompts can overfit narrow patterns.
Unlike the requested acceptance outcome, this observation checks a separate situation: copilot repeatedly accepts a malformed account number because examples include only valid cases. It cannot confirm the specified intervention by itself.
Unlike the requested acceptance outcome, this observation checks a separate situation: a well-known sorting utility is requested with precise inputs and outputs but no examples. It cannot confirm the specified intervention by itself.
Unlike the requested acceptance outcome, this observation checks a separate situation: a domain parser must recognize a nonstandard but repeated log format. It cannot confirm the specified intervention by itself.
Check the current support matrix for each client and mode. The prior failure was: A developer expects an exclusion rule to work identically across VS Code and web Copilot Chat. Which outcome demonstrates that the original issue is resolved?
This observation is the required outcome: Documented unsupported surfaces get separate compensating controls. It tests the original requirement because exclusion coverage differs between products and may be preview-only.
This result would validate a different action: Verify path syntax, repository scope, supported surface and indirect context. It applies when a developer sees content from a directory thought to be excluded, not to the failure being reviewed here. In this verification case, the decisive result is documented unsupported surfaces get separate compensating controls, not a generic indication that the tool was used.
This result would validate a different action: Verify actual repository identity and scope of the policy. It applies when a team configures exclusion rules for one repository but tests suggestions in a fork, not to the failure being reviewed here. In this verification case, the decisive result is documented unsupported surfaces get separate compensating controls, not a generic indication that the tool was used.
This result would validate a different action: Use a supported matching-code Allow policy and inspect code references. It applies when a developer wants matching public-code suggestions with references for manual license review, not to the failure being reviewed here.
Generated form markup omits labels and keyboard-focus behavior. Which course of action is best justified?
The key is the specific capability, not simply the fact that AI suggested it. AI output may optimize appearance without meeting accessibility needs. In this case the proposed action is review against accessibility requirements and test assistive navigation; confirm it through the concrete expected result.
Tests generated from flawed code can reproduce the same incorrect assumption. That makes this relevant when a code change and its generated test both omit the same failure branch, whereas this scenario has a different controlling requirement and acceptance test. Here the controlling problem is generated form markup omits labels and keyboard-focus behavior, and the proposal must meet that constraint.
Authentication proves identity but not entitlement to another user's records. That makes this relevant when an AI-generated endpoint checks login but never checks whether the user owns the requested record, whereas this scenario has a different controlling requirement and acceptance test. Here the controlling problem is generated form markup omits labels and keyboard-focus behavior, and the proposal must meet that constraint.
Passing unit tests alone is insufficient for external dependency changes. That makes this relevant when a proposed fix passes unit tests but fails the integration suite connecting to the database, whereas this scenario has a different controlling requirement and acceptance test. Here the controlling problem is generated form markup omits labels and keyboard-focus behavior, and the proposal must meet that constraint.
Regenerate examples from the current build configuration and test them. The prior failure was: A setup guide includes commands that no longer match the repository Makefile. Which observation should appear in the test record?
This is the acceptance signal tied to the issue: A fresh checkout follows the README successfully. It is causally related because documentation generation needs executable verification.
This observation would make sense for the independent case "Documentation consistency", whose acceptance criterion is Every documented endpoint appears in the running API schema. It is not proof of the current remediation.
This observation would make sense for the independent case "Property based tests", whose acceptance criterion is Random Unicode inputs satisfy idempotence and output constraints. It is not proof of the current remediation. In this verification case, the decisive result is a fresh checkout follows the README successfully, not a generic indication that the tool was used.
This observation would make sense for the independent case "Repository onboarding", whose acceptance criterion is The suggested build command works and the service map names real packages. It is not proof of the current remediation.
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