pipeline-coordinator-reference

Prevent silent failures in sequential agent workflows by enforcing explicit data contracts between pipeline stages. Machine-readable schemas validate that all required data is present and correctly formatted before a stage advances, eliminating context drift and hard-to-debug errors.

Build a test coverage pipeline using a coordinator prompt template to manage a four-stage sequence: explore, gap analysis, test writing, and summary. Apply stage validation rules to enforce data contracts and ensure each step receives the correct output from the previous stage.

Context drift in sequential multi-agent workflows occurs when agents receive stale context, incorrect file paths, or missing fields without explicit data contracts. Fix it by defining machine-readable schemas for handoffs between pipeline stages to validate data before processing.

Pipeline orchestration with explicit data contracts applies to document processing and code quality analysis. The sequential agent pattern ensures each stage builds directly on the prior stage's output, making it reliable for any multi-stage workflow requiring strict data handoffs.

Explicit schemas are required for every stage in a sequential agent pipeline. Stage validation rules check that all required data is present and correctly formatted before advancing, preventing the incorrect file paths and missing fields that cause silent failures.

The best way to coordinate specialized agents in automated test generation is using a coordinator prompt template with stage validation rules. This pattern enforces strict data contracts across a four-stage pipeline, ensuring reliable sequential processing without silent failures.