hypothesis-test

Guided hypothesis testing is orchestrated through a deterministic multi-screen UI flow that takes you from project setup to commit, dispatching background agents to generate hypotheses and scaffold experiments automatically.

Yes, hypothesis testing supports both parallel and sequential execution modes for running experiments, allowing you to manage multiple background agents concurrently during the workflow.

The best way to document experimentation findings is using an automated workflow that generates hypotheses, runs experiments via background agents, and handles state transitions to commit the documented results directly.

Error handling during experimentation manages agent failures and invalid outputs robustly, ensuring deterministic state transitions are maintained even when background agents encounter errors.

No external dependencies are required to set up hypothesis-driven experimentation, as the guided workflow operates autonomously using built-in scripts to manage project setup, agent dispatch, and testing.

You should use a structured workflow for generating and testing hypotheses when transforming complex software experimentation into a manageable, consistent process from initial project definition through final commit.