Autonomous AI Agents That Build Software
Buildyr orchestrates specialized AI engineering agents that design, build, test, and deploy software from a single workflow.
What is Buildyr AI?
Buildyr AI is an autonomous software development platform powered by specialized AI agents that collaborate across the full software lifecycle.
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
Engineers review every artifact generated by AI agents before it advances to the next stage. Approval gates keep your team in control of every decision.
Traceable artifact generation
Every output is linked to the originating task, agent, and prompt. Full provenance from requirement to deployed line of code.
Version-controlled outputs
Generated code and artifacts are committed directly to your repository. All AI output lives in Git alongside your own commits — no black boxes.
Deterministic AI tooling
Agent outputs follow repeatable workflows and structured prompts. The same input produces consistent, reviewable output every time.
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
No standups. No PRDs. No ticket grooming.
Describe what you want in plain English. Buildyr's agents structure it, challenge it, and hand it to your coding agent as a complete, reviewed specification.
Every decision, documented automatically.
Architectural trade-offs, acceptance criteria, security considerations - all captured as your pipeline runs. Your team reviews outcomes, not processes.
Scales from one story to an entire product.
Run a quick Sprint on a single feature. Run Command on your next platform migration. The same intelligence, calibrated to the work at hand.
Choose Your Mode
One platform. Three speeds.
From a quick story plan to a full enterprise pipeline - pick the mode that matches your team's velocity and compliance needs.
Lean
Story only
One story. Two calls. Shipped.
Drop in a user story. A single focused review pass covers requirements and architecture, then a task planner turns it into precise, executable implementation tasks - ready for your AI coding agent. No decomposition overhead, no ceremony.
- Single-pass requirements and architecture review
- Minimal, specific implementation tasks
- Precise file paths and commands included
- Optimised output for AI coding agents
- No epic or feature decomposition
- Lowest cost per story
Build
Epic - Feature - Story
From raw idea to a fully structured delivery plan.
Your idea enters as an Epic. Three layers of specialist agents decompose it into Features, then Stories, validating scope, technical feasibility, and product alignment at every level. Each layer produces structured, traceable output - not just notes.
- Epic-level scope and feasibility validation
- Feature decomposition (3-8 per Epic)
- Story decomposition (3-8 per Feature)
- BA, Architect, and PM at each layer
- Acceptance criteria at every level
- Full traceability from Epic to task
Deep
Epic - Feature - Story + specialists
The same pipeline. Every agent at full depth.
Deep runs the same Epic-Feature-Story structure as Build, but every agent goes further. The BA surfaces edge cases others miss. The Architect documents every trade-off. UX, Security, Data, DevOps, and QA each produce specialist-grade output - not summaries. For work where thoroughness is the requirement.
- All Build agents - with deeper analysis at every step
- UX Designer: mobile-first specs and interaction flows
- Security: auth, compliance, and threat surface review
- Data: schema design and query performance strategy
- DevOps: deployment, rollback, and observability plans
- QA: full test strategy with coverage targets
Limited Beta Access
Ready to ship software 10× faster?
Join the engineering teams already using Buildyr AI to automate their development pipeline from idea to production.