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Does your AI analyze the entire codebase (including cross-repo dependencies) instead of just the git diff?

Is your AI 'Default Quiet', enforcing explicit team rules rather than its own opinions?

Does your tooling separate exploratory Local feedback (IDE) from surgical PR guardrails?

Can your AI connect to Jira/Linear (via MCP) to validate if the code actually solves the business problem?

Does the AI learn from rejected suggestions to prevent regressions automatically?

Can it run dynamic sandbox validation (or generate unit tests) to prove its suggestions work?

Are you paying exorbitant markups for LLM tokens instead of bringing your own key (BYOK)?

Does the AI generate 1-click commit fixes instead of just leaving explanatory comments?

Does the tool provide an Engineering Cockpit to prove its ROI on DORA metrics?

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