superego

AI coding alignment is evaluated by applying metacognitive oversight before large edits to surface concerns without blocking progress. This advisory mechanism reviews the assistant's approach at decision points and returns structured feedback indicating concerns and guidance for safe progress.

Metacognitive oversight for AI coding assistance is an advisory evaluation that checks conversations for alignment, focus, and proportionality to prevent misguided edits. It surfaces concerns at decision points without blocking work, returning feedback and guidance to support safe progress.

Surface trade-offs during a refactoring session by applying an advisory evaluation at decision points and plan reviews. This metacognitive oversight checks the coding conversation for misalignments and proportionality, returning structured results that flag concerns without halting development.

Review AI coding decisions without blocking work by using an advisory evaluation that surfaces alignment and focus concerns at key decision points. It returns structured feedback and guidance for safe progress, ensuring metacognitive oversight does not interrupt the active coding session.

Apply decision-support evaluation during coding conversations at critical decision points, specifically before large edits and during plan reviews. This metacognitive oversight surfaces misalignment and proportionality concerns, providing structured feedback to guide safe implementation without blocking progress.