From Idea to Production Software
Buildyr takes your idea — however rough — and turns it into shipped software. It asks the questions that turn vague goals into clear requirements. It handles the parts most people skip: architecture, security, the edge cases. Then it builds, tests, and ships. One system, the full lifecycle, start to finish.
What is Buildyr AI?
Buildyr is the team behind your idea. It listens to what you describe, asks the questions a senior engineer or product lead would ask, and turns the answers into a complete plan — architecture, security, the edge cases most people forget. Then it builds, tests, and ships. Whether you’re starting from a napkin sketch or a half-written spec, Buildyr fills in the gaps and gets it done right.
The AI Software Development Pipeline
Watch as Buildyr hands each work item from agent to agent — from raw idea to deployed feature.
Idea
Product input
2 active
Inventory Service
Warehouse backlog request
Reorder Alerts
Low-stock notification concept
Spec
BA Agent
Incoming
Inventory Service
Backorder acceptance rules
2 active
Inventory Service
Backorder acceptance rules
SKU Sync Rules
Supplier mismatch scenarios
Architecture
Architect Agent
2 active
Inventory API
Warehouse service contract
Stock Event Bus
Reservation event schema
Development
Developer Agent
2 active
Reservation Worker
Order hold processing logic
Sync Controller
Supplier retry orchestration
Testing
QA Agent
2 active
Stock Underflow
Oversell regression suite
API Contract Pack
Warehouse contract verification
Deployment
Build system
2 active
Canary Rollout
Warehouse API staged release
Inventory Monitor
Stock drift health checks
Buildyr in Action
Watch five specialized agents turn a single prompt into a fully deployed service.
You
"Create a warehouse inventory API."
Functional Requirements
- GET /inventory/{sku} — Returns stock level, warehouse location, and reorder threshold
- POST /inventory/adjust — Adjusts quantity with idempotency key and full audit trail
- GET /inventory/alerts — Lists all SKUs currently below reorder threshold
Acceptance Criteria
- All endpoints respond in < 200ms at p99 under 500 rps
- Mutations require idempotency-key header; duplicates return 200 without re-applying
- Audit log entries retained for 90 days with append-only writes
Out of Scope
- Warehouse picking and packing workflow
- Supplier purchase-order generation
Built for engineering teams
Engineering-Grade AI Development
Autonomous agents that operate inside your existing engineering standards — not outside them.
Human-in-the-loop workflows
Every agent-produced artifact — requirements doc, architecture decision, generated PR — requires explicit engineer approval before advancing. No stage runs unattended.
Traceable artifact generation
Each output is stamped with the agent that produced it, the task it originated from, and the exact prompt that generated it. You can audit any line of code back to a user story.
Version-controlled outputs
Generated code is committed to your repository in agent-named branches with structured commit messages. Every AI-authored change is a reviewable diff — no opaque file drops.
Deterministic agent tooling
Agents operate via typed tool schemas and structured output contracts. Given the same task and context, the same agent produces the same artifact shape — no freeform hallucination.
System design
Buildyr AI Architecture
A layered pipeline where every stage is owned by a specialized agent and every output is traceable.
User
Product InputA plain-language prompt is the only required input. No ticket format, no template, no JIRA fields. The system derives structure from intent.
Kanban Workflow
Task OrchestrationThe prompt is parsed into a staged task board: Idea → Spec → Architecture → Development → Testing → Deployment. Each column is a discrete agent handoff boundary.
Agent Orchestrator
Coordination LayerThe orchestrator evaluates task state, resolves agent dependencies, and dispatches work. It enforces approval gates and retries failed steps without re-running completed stages.
Specialized AI Agents
Autonomous ExecutionFour domain-specific agents — BA, Architect, Developer, QA — each operate with scoped context, typed tool access, and structured output contracts. No agent writes outside its domain.
Artifacts
Structured OutputsEach agent emits a typed artifact: requirements JSON, architecture ADR, source files, or test suite. Artifacts are stored with agent ID, task ID, and prompt hash for full auditability.
Code + Tests + Documentation
Version-ControlledSource code, test files, and inline docs are committed to agent-named branches. Every file traces back to the artifact that produced it. Engineers review a standard pull request.
Deployment
Build SystemOn merge, the CI pipeline runs the generated test suite, builds the container, and deploys to the target environment. The system emits a deployment manifest linking every running service to its origin story.
Request Early Access to Buildyr AI
We are inviting engineering teams to participate in the private beta.