aibdd-auto-control-flow

Automating BDD batch execution involves scanning a features directory and generating Red, Green, and Refactor task streams for each file. This orchestrator scans feature files and creates 3-phase tasks, executing them sequentially until all features are processed.

Supported tech stacks include Python E2E, Java E2E, Python UT, and Node.js IT environments. The orchestrator coordinates test commands and language variants across these projects by reading configuration from an arguments.yml file.

The Red Green Refactor workflow integrates by invoking dedicated skills for each phase and loading rules lazily. It creates a structured end-to-end task stream that processes each feature file sequentially through the three testing phases.

Yes, an arguments.yml file is required. The orchestrator reads this configuration file to automatically determine test commands and language variants, ensuring the correct execution paths are applied for your specific tech stack environment.

The best way to manage end-to-end BDD task streams is using an orchestration tool that scans feature files and generates 3-phase tasks. This approach coordinates commands and variants across multiple projects automatically, ensuring sequential execution.

An automated BDD workflow might stop during the Refactor phase if the arguments.yml configuration is missing or incorrectly formatted. The orchestrator relies on this file to invoke the correct skills and complete the end-to-end execution successfully.