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Where Trust in Automated Review Actually Comes From

There's a tempting fix for the moment your team stops trusting its AI code review...add a second AI to check the first one. I get why.

  • AI models trained on similar data have similar blind spots, leading to inconsistent judgments.
  • Human reviewers build instincts in diverse environments, spotting issues models might overlook.

The Setup Screen Is Not Evidence

The first fifteen minutes of an AI coding setup usually fail for a boring reason, not a model reason. The wizard says you are ready while your project folder still looks untouched and slightly…

  • Setup screens lack evidence of code readability.
  • Canary file proves test success after AI coding.
  • Focus on code changes and test results, not screens.

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