An AI code reviewer that remembers its findings still needs a stop condition
An automated code reviewer can get stuck in a loop that looks productive: It finds three problems. An agent fixes two and changes something nearby. The next review finds one old problem again, plus two new ones. Repeat until somebody gives up. The failure is not just that the model is imperfect. It is that the loop has no explicit end state. I built an optional review runner in frontier-simplify…
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