No-Code Automation: Building Workflows That Keep Working

These platforms remove the cost of writing integration code, which was real, and leave the cost of operating an integration, which is larger and arrives later. This cursus covers why automations break once they run unattended, why partial failure is worse than total failure, and the idempotency problem behind most real damage. Then the patterns that survive production: validation, safe retries, rate limits, testing what you cannot test, and credentials. It ends on ownership, shadow automation, and when a flow has outgrown the tool.