How Multi-Agent AI Closes the Test Coverage Gaps Humans Miss
How Multi-Agent AI Closes the Test Coverage Gaps Humans Miss
Enterprise applications rarely have their business rules in one place. They're scattered across source code, API contracts, database schemas, configuration files, UI components, and — often — nowhere written down at all, just implied by a validation check someone added three years ago. Traditional test design, whether done by a human or a single AI prompt, only ever surfaces the rules someone remembered to look for. Everything else becomes a coverage gap that shows up in production instead of in CI.
The fix isn't "generate more test cases." It's changing what the AI is actually doing before it writes a single test: understanding the application first, the way a senior test architect would, then letting test design fall out of that understanding. This piece lays out an architecture for doing that — a set of specialized AI agents, each responsible...
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