atdd-team

To prevent role drift in AI-assisted ATDD workflows, orchestrate a strict six-phase pipeline that assigns a fresh agent per phase, ensuring durable checkpoint handoffs prevent context compaction from eroding role boundaries across long feature development runs.

Generating test pipelines from Gherkin specs involves running a structured ATDD workflow that processes your acceptance criteria through spec review, pipeline generation, implementation, refinement, and verification phases with strict exit-criteria gating.

Charter-driven mutation testing in acceptance test driven development is a verification approach that runs mutation tests according to a predefined charter policy rather than relying on agent discretion, ensuring deterministic guardrails around the verification process.

Yes, you can enforce verification independence in agent-based feature development by applying agent_id verification guardrails, ensuring the verification phase is never performed by the same agent that implemented or refined the code.

The best way to maintain consistent artifacts across long ATDD agent runs is to use durable checkpoint handoffs, persisting phase outputs to a handoff directory so each subsequent phase reads the prior checkpoint instead of relying on chat history.

Yes, the ATDD team workflow begins with a spec writing phase to define acceptance criteria before proceeding to spec review, pipeline generation, and implementation, requiring structured Gherkin specs to establish deterministic verification gates.