pipeline

Multi-agent orchestration passes structured context between sequential exploration, architecture, and execution stages, enabling parallel execution and branching logic to complete end-to-end codebase workflows.

Using a parallel-then-merge workflow runs research and code exploration concurrently, then synthesizes and merges the structured outputs into a single unified result for downstream stages.

Yes, you can implement conditional branching logic to dynamically route tasks to different agents based on detected complexity signals or other criteria within your pipeline stages.

You can automate security audits and refactoring pipelines by applying built-in presets or custom syntax to chain agents, executing sequential stages with retries and verification checks before completion.

Yes, multi-agent workflow orchestration initializes and persists pipeline state during execution, applying error routing, merging parallel outputs, and running verification checks to keep outputs aligned with the original request.

Using custom syntax for agent workflow pipelines requires parsing pipeline definitions and managing stateful execution manually, meaning you must configure error routing, retry logic, and parallel output merging yourself for complex branching scenarios.