PandaCode adds scored Council fix loops

PandaCode is turning multi-agent review from a loose workflow into a measurable control loop, though its value will depend on whether independent models actually reduce blind spots instead of multiplying noisy feedback.

• –Independent reviewers can catch issues a single coding agent would rubber-stamp
• –Score targets provide a clearer stopping condition than subjective “looks good” approvals
• –Bounded rounds and adjustable targets help control token costs and prevent endless fix cycles
• –Stale-score invalidation is an important safeguard when later edits change previously reviewed code
• –The release notes acknowledge that paid-model loops and outside-shell edits remain unvalidated