Buildyr AI orchestrates an intelligent pipeline of agents — each specialised, each accountable — that collectively replace the manual overhead of software delivery.
10×
Faster Delivery
Teams ship features 10× faster with autonomous agents
95%+
Code Coverage
Every generated PR ships with comprehensive test coverage
4
Agents in Pipeline
BA · Architect · Developer · QA working in concert
50+
Beta Teams
Engineering teams already building with Buildyr AI
Four specialised AI agents collaborate to take your idea from concept to production. Each agent owns its domain - together they form a complete engineering team.
Validates strategic clarity, scope boundaries, and measurable success criteria for Epics. Ensures initiatives are outcome-oriented and properly sized (3-10 Features).
Outputs
Assesses high-level technical feasibility and platform impact for Epics. Identifies architectural constraints and sets guardrails for Feature development.
Outputs
Consolidates Epic validation feedback, confirms strategic alignment, and approves Epics for Feature decomposition. Rewrites Epic descriptions in standard format.
Outputs
Breaks approved Epics into 3-8 independently deliverable Features, each representing a product capability area with clear acceptance criteria.
Outputs
Validates user-facing value, testable acceptance criteria, and appropriate sizing for Features. Ensures traceability to Epic goals.
Outputs
Assesses Feature-level technical feasibility, identifies design risks, and sets constraints for Story decomposition. Identifies shared infrastructure needs.
Outputs
Consolidates Feature validation feedback and produces Story Decomposition Brief. Approves Features for Story decomposition with spike stories if needed.
Outputs
Breaks approved Features into 3-8 User Stories with clear acceptance criteria. Creates infrastructure stories for shared components when needed.
Outputs
Combined BA and Architect review in one pass. Validates story clarity, acceptance criteria, and technical feasibility for AI coding agents.
Outputs
Generates minimal, specific implementation and test tasks that AI coding agents can execute autonomously with no human interaction required.
Outputs
Reviews user stories for clarity, completeness, and testability. Validates acceptance criteria and ensures stories have clear user value.
Outputs
Evaluates technical feasibility and architectural alignment of user stories. Identifies integration points, data models, and technical risks.
Outputs
Consolidates BA and Architect feedback, validates story readiness, and approves stories for planning. Triggers specialty agent reviews when needed.
Outputs
Provides strategic oversight, prioritizes work, and makes final approval decisions. Ensures alignment with product vision and business goals.
Outputs
Creates detailed implementation tasks from approved stories. Defines technical approach, file structure, and development steps.
Outputs
Defines test strategy and creates test tasks for approved stories. Ensures comprehensive coverage including edge cases and integration tests.
Outputs
Provides deployment guidance and infrastructure requirements. Always approves but offers critical operational recommendations and rollback plans.
Outputs
Creates comprehensive UX designs with mobile-first mockups, responsive layouts, and WCAG 2.1 AA accessibility compliance. Defines design system and component libraries.
Outputs
Validates security requirements and compliance needs before planning. Identifies authentication, data protection, and regulatory concerns early in the process.
Outputs
Validates data model changes, performance considerations, and analytics requirements. Ensures scalable data architecture before implementation begins.
Outputs
Limited Beta Access
Join the engineering teams already using Buildyr AI to automate their development pipeline from idea to production.