Developer Productivity with Claude
A developer productivity team has deployed Claude to automate configuration updates across a large internal project — updating 120 YAML configuration fields based on a change manifest. After two weeks in production, the team reports that roughly 8% of update runs result in silent failures: fields that were supposed to be updated are unchanged, or worse, two related fields are set to conflicting values. Logs confirm Claude is completing its runs without errors. What architectural change would most effectively catch these issues before they corrupt the configuration files?