stream-chain

Sequential prompt chaining automates multi-step code refactoring by feeding the output of one agent directly as input to the next, enabling tailored workflows that identify code smells, plan changes, implement refactors, and verify results.

Multi-agent pipeline execution is a process that manages complex data transformations by passing sequential processing outputs between agents, enabling sophisticated task execution for code analysis and optimization without manual intervention.

Yes, you can define and execute custom sequences of prompts to create tailored workflows, allowing you to build custom chains that address specific data transformation and sequential processing requirements.

Yes, predefined pipelines are available for common tasks like code analysis, refactoring, testing, and optimization, providing battle-tested workflows that can be executed immediately without custom setup.

Yes, multi-agent chaining supports integration with swarm coordination and memory management, allowing complex sequential workflows to maintain state and coordinate across multiple agents effectively.

Use sequential prompt chaining when your workflow requires complex, multi-step processes with intermediate data transformations, as it streamlines sequential task execution that would be difficult to manage within a single agent.