Can Coding Agents Test Their Own Code

Coding agents can effectively detect mechanical problems such as crashes, type errors, imports, and regressions covered by existing tests, but they often miss misread or unstated requirements because the code and its tests may share the same flawed interpretation. The passage argues that meaningful verification requires independent, executed, durable, and attributable evidence, particularly through testing against a real browser rather than relying only on source-level reasoning or terminal output. It presents Kane CLI from TestMu AI as a browser-based verifier that can run natural-language objectives, preserve screenshots and console logs, and fail a build when observable behavior violates specified rules. A second testing agent may improve coverage when it has access to different inputs, such as an independent specification or user session, but it can retain the same blind spots if it shares the original context. The recommended approach is to automate evidence-backed checks for low-risk reversible changes, require human approval for high-impact work such as payments, authentication, deletion, and migrations, and explicitly document requirements that would otherwise remain untested.

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