gsd-research-phase

To research phase feasibility before planning, you can run an autonomous phase research workflow that validates approaches against the roadmap and outputs a decision-ready research document. It spawns a dedicated agent to explore implementation paths.

Autonomous phase feasibility research is an agent-led process that explores how to implement a specific project phase. It gathers context, validates approaches against the roadmap, and preserves prior decisions to guide subsequent planning workflows.

You use an agent to research phase implementation by providing a phase number to trigger the workflow. The system then spawns a dedicated phase researcher agent to explore ecosystem, feasibility, implementation, and comparison modes.

Yes, you need access to the gsd-sdk environment to run autonomous phase research workflows. The research process relies on this environment to access the phase roadmap, context, and prior decisions necessary for guided discovery.

The best way to validate a project phase against a roadmap is using an agent-led research command. It analyzes phase context, validates feasibility, surfaces a research document, and preserves blockers to guide downstream planning.

Available research modes for exploring software phase implementation include ecosystem, feasibility, implementation, and comparison. These modes guide the agent in discovering approaches and generating a decision-ready output for planning.