gemini-harness-builder

To orchestrate a LangGraph and Gemini harness porting workflow, provide a project brief to initialize a pipeline that coordinates design, implementation, integration, and verification across multiple expert roles. This orchestrates the entire porting process automatically.

A self-critique QA loop for LangGraph harness porting involves automated verification stages that evaluate the ported implementation against requirements. This ensures robust integration and validation through continuous self-assessment before finalizing the workflow.

Yes, you can design workflow.json schemas and integrate Gemini CLI using this orchestration workflow. It supports writing LangGraph runtimes, wrapping Gemini APIs, and managing schema validations as core components of the port.

To manage partial modifications and re-verification for a Gemini harness, rerun the orchestrator with your updated requirements. It handles partial updates, targeted agent re-invocations, and result improvements while maintaining workflow schema alignment.

Yes, Architecture Decision Records are generated as part of the Gemini harness integration and QA workflow. The orchestrator enforces ADR creation and schema validations to ensure robust documentation and architectural consistency throughout the porting lifecycle.

The orchestration for LangGraph and Gemini port initiatives is limited to active porting, integration, and QA tasks. It does not handle simple conceptual questions like explaining what LangGraph is, focusing strictly on end-to-end implementation and verification workflows.