Wubba Code

Genesis Engine

Autonomous AI-Powered Software Factory Platform — transform plain-English business domain descriptions into fully autonomous software development systems.

Factory-as-a-ServiceMulti-Agent AILangGraph22 AI Agents40,900+ Lines PythonSelf-Healing PipelinesMeta-Prompting

What Makes It Different

Wubba Code uses meta-prompting — AI agents that design and deploy other AI agents — to bootstrap complete software factories for any business domain. Each factory comes equipped with domain-specific agents, code review specialists, and autonomous build-test-fix pipelines that iterate until the code passes all quality gates.

The Problem & The Solution

The Problem

Building enterprise software requires deep domain expertise, security compliance knowledge, and months of manual development.

Traditional code generation tools produce generic output that still requires significant human effort to shape into production-ready systems.

The Solution

Describe your business domain in plain English. The Genesis Agent creates a complete factory with domain-specific vocabulary, architecture decisions, and specialized agents.

The Architect Agent designs implementation plans. The Builder Agent writes, tests, and self-heals code through up to 5 automatic iterations before escalating to a human.

Core Agent Pipeline

A LangGraph-orchestrated multi-agent system where AI creates AI, each specialized for the client's exact domain.

1. Genesis Agent

Takes a plain-English business domain description and bootstraps an entire software factory — domain-specific vocabulary, architecture decisions, and specialized agents tailored to the vertical.

2. Architect Agent

Designs implementation plans including system architecture, API contracts, database schemas, and service boundaries based on the domain factory configuration.

3. Builder Agent

Writes production code, runs tests, and self-heals through up to 5 automatic iterations. Detects failures and auto-fixes without human intervention before escalating.

4. Review Swarm
19 specialist reviewers running simultaneously

Up to 19 domain-expert code reviewers analyze the output simultaneously, producing severity-ranked findings with line-by-line context and actionable fix recommendations.

5. Synthesizer

Aggregates findings from all 19 assistants into a single “Vibe Score”. Failed reviews loop back to the Builder for self-healing. Passing code proceeds to the approval gate.

19 Specialized AI Code Reviewers

Each assistant carries 1,000–2,200 lines of specialized knowledge and 30–50 code examples. Run any combination simultaneously against your codebase.

Security

OWASP Top 10, PCI DSS compliance

Compliance

GDPR, SOC 2, FHIR/Healthcare

Performance & Caching

Optimization, bottleneck detection

Architecture

API design, microservices, event-driven

Infrastructure

Docker, Kubernetes configuration

Frontend

React, Accessibility/WCAG 2.2

Database & Query

Schema design, query optimization

Test Coverage

Coverage analysis, test quality review

+ 11 More Specialists

Domain-specific reviewers per factory configuration

Healthcare / FHIR Specialization

FHIR R4 Compliance

• Out-of-box Patient, Appointment, Slot resources

• HIPAA-aware code generation

• Automatic PII redaction

Built For

• Healthtech startups

• Digital health platforms

• Healthcare compliance automation

Enterprise Security

Authentication

• JWT with refresh token rotation

• API key management

• Keycloak multi-tenant identity

• Okta & Azure AD federation (planned)

PII Redaction

• Middleware strips sensitive data before any LLM call

• API keys, credentials, SSNs, credit cards, private keys

• Automatic and configurable

Multi-Tenant Isolation

• Role-based access control

• Per-tenant rate limiting by plan tier

• Full request audit logging

Policy-as-Code (Planned)

• Open Policy Agent (OPA) with Rego rules

• No plaintext secrets enforcement

• Required test coverage gates

• Approved dependency allow-lists

Technical Architecture

Frontend

Next.js 14, React 18, TypeScript

TailwindCSS styling

Monaco Editor — code editing

xterm.js — built-in terminal with PTY

Backend

Python, FastAPI, PydanticAI

LangGraph agent orchestration

Anthropic Claude & OpenAI GPT-4

• WebSocket live collaboration

Data Layer

PostgreSQL (production)

Milvus (vector/RAG)

DynamoDB (cache)

S3 (artifacts), Redis (sessions)

Infrastructure

AWS ECS Fargate, RDS, ALB, ECR

Terraform IaC (21 resources)

Dagger CI/CD pipelines

• Docker multi-stage builds

System Architecture
Six-layer platform from UI to data
Super Admin Panel — Policies, Tenants, Quotas (OPA Rego)
Build View UI — Plan Tracer, Live Preview, Vibe Score, Approval Gate
API Layer (FastAPI) — Auth, Multi-Tenant, PII Redact, Rate Limit, Billing, MCP
AI Orchestration (LangGraph) — Genesis → Architect → Builder → Review Swarm → Synthesizer
MCP Tool Ecosystem — Jira, Figma, Confluence, Slack, SharePoint (tenant-scoped)
Data Layer — PostgreSQL, DynamoDB, Milvus, S3, Redis

By The Numbers

22
AI Agents
3 core + 19 specialist reviewers
40.9K+
Lines of Python
Across 36 modules
19
Domain Assistants
1,000–2,200 lines each
3
Deploy Targets
AWS, Railway, local Docker
21
AWS Resources
Provisioned via Terraform
5
Self-Heal Iterations
Before human escalation
50%
Prompt Savings
Via prompt caching
~$8-15
/month Infra
AWS Free Tier optimized

Real-Time Collaboration

Built-in Terminal
Full PTY support with xterm.js — run commands directly in the browser
Live Code Editing
WebSocket-powered collaborative editing with Monaco Editor across teams
Setup Wizard
Interactive factory setup wizard — no coding required to bootstrap a new project

Key Differentiators

Self-Healing Development

Agents detect failures and auto-fix without human intervention

Meta-Prompting

AI creates AI, each specialized for the client's exact domain

Multi-Assistant Code Review

Run up to 19 expert reviewers simultaneously on any codebase

Human Escalation

DevContainer-based handoff when AI reaches its limits, with full context preserved

Cost-Optimized at Scale

Built for AWS Free Tier from day one with prompt caching for 50% savings. Infrastructure runs at ~$8–15/month plus AI API costs.

Platform Roadmap

Complete

Phase 1 — Foundation

Auth, multi-tenancy, PII redaction, and AWS production deployment. JWT authentication with refresh tokens, tenant-isolated data, automatic stripping of sensitive data before LLM calls, rate limiting by plan tier, and full Terraform-managed infrastructure on ECS Fargate with RDS PostgreSQL.

Next

Phase 2 — Outcome-Driven Build View

A minimalist, non-technical interface for Product Owners and BAs. The Plan Tracer replaces raw logs with business milestones. A Review Synthesizer aggregates findings from all 19 assistants into a single Vibe Score. Approval Gates let stakeholders sign off or request refinements.

Phase 3

Live Preview + Containerized Sandbox

Every build produces a clickable preview URL. Ephemeral Docker containers serve a sandboxed, real-time preview that updates as agents make changes. “Request Refinement” loops user feedback directly back into the pipeline.

Phase 4

Policy-as-Code + Governance

OPA integration for organization-wide guardrails. Super Admins manage policies across tenants, set quotas, and enforce rules. Identity federation with Okta and Azure AD.

Phase 5

Enterprise Tool Ecosystem (MCP)

Tenant-scoped MCP routing to Jira, Figma, Confluence, Slack, SharePoint. Every generated artifact traces back to its source requirement.

Phase 6

Usage Metering + Billing

Per-tenant token tracking, pre-build cost estimation, quota enforcement. Tiered pricing: Starter ($49/user/month), Enterprise ($500/team/month), and Outcome-Based (percentage of value created).