AICodeKing separates an architect's integration responsibilities from worker assignmentsA multi-agent system contains multiple AI agents that interact, coordinate, divide work, or influence one another while pursuing tasks. with explicit file ownership and interfaces. The demonstration uses a Minesweeper project to show how engine, interface and testing work can be divided without treating parallel activity as proof of successful integration.
AICodeKing presents Jev as an optional typed-decision checkerA classifier assigns an input to one or more defined categories based on rules or learned patterns., not a code-writing replacement or a test runner. Original context excerpts, saved diffs and test evidenceAgent completion verification checks evidence that an agent achieved the requested outcome rather than merely producing intermediate work. give the architect concrete material to review. A confident completion message is not enough.
AICodeKing distinguishes completed browser journeys from assertions about game behavior. Desktop and mobile checks complement engine tests rather than replacing them. He also qualifies cost comparisons by accounting for the architect subscription, worker calls and retries, and notes that a team can be unnecessary for a small change.
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