Your Autonomous Engineering Team

Validates strategic clarity, scope boundaries, and measurable success criteria for Epics. Ensures initiatives are outcome-oriented and properly sized (3-10 Features).

Assesses high-level technical feasibility and platform impact for Epics. Identifies architectural constraints and sets guardrails for Feature development.

Consolidates Epic validation feedback, confirms strategic alignment, and approves Epics for Feature decomposition. Rewrites Epic descriptions in standard format.

Breaks approved Epics into 3-8 independently deliverable Features, each representing a product capability area with clear acceptance criteria.

Validates user-facing value, testable acceptance criteria, and appropriate sizing for Features. Ensures traceability to Epic goals.

Assesses Feature-level technical feasibility, identifies design risks, and sets constraints for Story decomposition. Identifies shared infrastructure needs.

Consolidates Feature validation feedback and produces Story Decomposition Brief. Approves Features for Story decomposition with spike stories if needed.

Breaks approved Features into 3-8 User Stories with clear acceptance criteria. Creates infrastructure stories for shared components when needed.

Combined BA and Architect review in one pass. Validates story clarity, acceptance criteria, and technical feasibility for AI coding agents.

Generates minimal, specific implementation and test tasks that AI coding agents can execute autonomously with no human interaction required.

Reviews user stories for clarity, completeness, and testability. Validates acceptance criteria and ensures stories have clear user value.

Evaluates technical feasibility and architectural alignment of user stories. Identifies integration points, data models, and technical risks.

Consolidates BA and Architect feedback, validates story readiness, and approves stories for planning. Triggers specialty agent reviews when needed.

Provides strategic oversight, prioritizes work, and makes final approval decisions. Ensures alignment with product vision and business goals.

Creates detailed implementation tasks from approved stories. Defines technical approach, file structure, and development steps.

Defines test strategy and creates test tasks for approved stories. Ensures comprehensive coverage including edge cases and integration tests.

Provides deployment guidance and infrastructure requirements. Always approves but offers critical operational recommendations and rollback plans.

Creates comprehensive UX designs with mobile-first mockups, responsive layouts, and WCAG 2.1 AA accessibility compliance. Defines design system and component libraries.

Validates security requirements and compliance needs before planning. Identifies authentication, data protection, and regulatory concerns early in the process.

Validates data model changes, performance considerations, and analytics requirements. Ensures scalable data architecture before implementation begins.