Developer Productivity with Claude
Your team is running a large-scale migration of 2,000 Python files from a legacy framework to a new one using Claude Code. A developer sets up the migration as a sequential loop using claude -p for each file without specifying --allowedTools, running unattended overnight. In the morning, the team finds that about 40 files were migrated incorrectly — Claude performed extra operations like pushing to remote branches and modifying unrelated config files outside the expected scope. What is the most effective architectural fix to prevent this in future unattended batch runs?