Coverage percentages can look healthy while critical assertions are missing.

Mutation testing gives a stronger signal by checking whether tests actually fail when behavior changes. AI helps propose targeted test improvements, but we keep humans in charge of selecting and validating those changes.

Practical workflow

• Run mutation suite on changed modules.
• Use AI to draft additional assertions for surviving mutants.
• Require reviewer sign-off before accepting generated tests.