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Home/News/Truthmark for AI Loop Engineering: Keeping Product Behavior Observable

Truthmark for AI Loop Engineering: Keeping Product Behavior Observable

AI coding agents are useful because they can make changes quickly. That same strength creates a review problem. In a typical loop, an agent edits code, runs tests, reads failures, patches the implementation, and repeats. The loop may finish with clean tests and a reasonable diff. But somewhere along

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