Many software mistakes begin as decisions that nobody explicitly made. A feature request sounds clear enough, an AI coding agent begins implementation, and the details get settled by whichever model output appears first. Later, the team discovers that “add roles,” “cache this endpoint,” or “support collaboration” contained several linked product, data, security, and rollout choices.
grill-me is designed for the moment before that happens. It is a manually invoked skill that interviews you about a plan or design until the important decision tree is resolved. It asks one question at a time, supplies a recommended answer, and waits for feedback before continuing. Crucially, if an answer can be discovered by inspecting the codebase, the agent should investigate rather than ask you to recreate repository facts from memory.
The name is playful. The underlying practice is serious: force a proposal to survive questions before code makes it expensive to change.
What grill-me is and is not
grill-me is not a general implementation workflow. It does not replace a specification, an issue breakdown, tests, or code review. It is a pressure-test for a direction that is not yet sufficiently settled to build.
