Generate full-stack SaaS applications with enterprise-grade architecture
Production-ready patterns proven at scale. Stop reinventing the wheel—build with confidence.
Powered by semantic search across our pattern library
Secure tenant isolation at the database layer
Perfect for:
-- Row-Level Security for tenant isolation
ALTER TABLE projects ENABLE ROW LEVEL SECURITY;
CREATE POLICY tenant_isolation ON projects
USING (tenant_id = current_setting('app.current_tenant')::UUID);Prevent API abuse and ensure fair usage
Perfect for:
// Token bucket rate limiting
const limiter = new TokenBucket({
capacity: 100,
refillRate: 10, // tokens per second
key: req.user.id
});
if (!await limiter.consume(1)) {
return res.status(429).json({ error: 'Rate limit exceeded' });
}Prevent cascade failures in distributed systems
Perfect for:
// Circuit breaker pattern
const breaker = new CircuitBreaker(externalService, {
failureThreshold: 5,
timeout: 3000,
resetTimeout: 30000
});
try {
const result = await breaker.fire(params);
} catch (err) {
// Fallback to cached data or default response
}Append-only event logs for auditability and time-travel
Perfect for:
// Event sourcing pattern
const events = [
{ type: 'OrderPlaced', data: { userId, items } },
{ type: 'PaymentProcessed', data: { transactionId } },
{ type: 'OrderShipped', data: { trackingNumber } }
];
// Rebuild state from events
const order = events.reduce((state, event) =>
applyEvent(state, event), initialState);No patterns found
Try searching for 'authentication', 'caching', 'real-time', or 'security'
While competitors generate 60-70% solutions, we deliver production-ready applications with enterprise-grade architecture.
Unit and integration tests scaffolded automatically. Security scanning included. Not just code—verified code.
Enterprise-grade patterns for tenant isolation. Row-level security, data partitioning—day one.
Prometheus metrics, structured logging, OpenTelemetry tracing. Monitor performance from day one.
OAuth2, RBAC, secrets management. 45% of AI code fails security tests—ours doesn't.
Deploy to production with Kubernetes manifests, Helm charts, and Terraform configs included.
GitHub Actions workflows for testing, building, and deploying. Push to production automatically.
Watch how we turn your PRD into production-ready code in 30 minutes
5 minutes
Build a Project Management Tool Requirements: • Multi-tenant architecture supporting teams and organizations • Core entities: Projects, Tasks, Time Tracking • Real-time collaboration with WebSocket updates • Role-based access control (Admin, Manager, Member) • RESTful API with OAuth2 authentication • Kubernetes deployment with auto-scaling • CI/CD pipeline with automated testing
20 minutes
Generating production-ready application...
Architecture
Security
DevOps
CI/CD
3 minutes
database/schema.sql
-- Generated multi-tenant database schema
CREATE TABLE organizations (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
name VARCHAR(255) NOT NULL,
created_at TIMESTAMP DEFAULT NOW()
);
CREATE TABLE projects (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
tenant_id UUID NOT NULL REFERENCES organizations(id),
name VARCHAR(255) NOT NULL,
description TEXT,
created_at TIMESTAMP DEFAULT NOW()
);
-- Row-Level Security for tenant isolation
ALTER TABLE projects ENABLE ROW LEVEL SECURITY;
CREATE POLICY tenant_isolation ON projects
USING (tenant_id = current_setting('app.current_tenant')::UUID);middleware/auth.ts
// OAuth2 authentication middleware
import { verifyJWT } from '@/lib/auth';
import { getTenantContext } from '@/lib/tenant';
export async function authMiddleware(req: Request) {
const token = req.headers.get('Authorization')?.replace('Bearer ', '');
if (!token) {
return new Response('Unauthorized', { status: 401 });
}
try {
const payload = await verifyJWT(token);
const tenant = await getTenantContext(payload.tenant_id);
// Attach tenant context to request
req.tenant = tenant;
req.user = payload;
return null; // Continue to handler
} catch (error) {
return new Response('Invalid token', { status: 403 });
}
}k8s/deployment.yaml
# Kubernetes deployment with production-ready configuration
apiVersion: apps/v1
kind: Deployment
metadata:
name: bootstrpp-api
namespace: production
spec:
replicas: 3
selector:
matchLabels:
app: bootstrpp-api
template:
metadata:
labels:
app: bootstrpp-api
spec:
containers:
- name: api
image: bootstrpp/api:latest
resources:
requests:
memory: "256Mi"
cpu: "250m"
limits:
memory: "512Mi"
cpu: "500m"
livenessProbe:
httpGet:
path: /health
port: 8080
initialDelaySeconds: 30
periodSeconds: 10
readinessProbe:
httpGet:
path: /ready
port: 8080.github/workflows/deploy.yml
# GitHub Actions CI/CD Pipeline
name: Production Deploy
on:
push:
branches: [main]
jobs:
test-and-deploy:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Run tests
run: |
npm install
npm run test:coverage
- name: Security scan
run: npm audit --audit-level=high
- name: Build Docker image
run: docker build -t bootstrpp/api:${{ github.sha }} .
- name: Deploy to Kubernetes
run: |
kubectl set image deployment/bootstrpp-api \
api=bootstrpp/api:${{ github.sha }}
kubectl rollout status deployment/bootstrpp-api2 minutes
Deployment Successful!
30m
Total Time
70%
Test Coverage
100%
Production Ready
Your application is live at https://api.your-app.com
Bootstrpp generates a human-readable, Git-friendly DSL specification so you can review, edit, and version control your architecture before any code is written.
application "customer-portal" {
description = "Multi-tenant SaaS platform"
scale = "10K-100K users"
}
service "auth-service" {
type = "microservice"
description = "OAuth2 authentication with JWT"
technology {
language = "go"
framework = "chi"
}
patterns = [
"oauth2-oidc",
"jwt-validation",
"rate-limiting"
]
dependencies {
database = "main-db"
cache = "redis-cache"
}
}
database "main-db" {
type = "postgresql"
version = "16"
patterns = ["row-level-security-rls"]
tables = ["users", "tenants", "sessions"]
}
cache "redis-cache" {
type = "redis"
patterns = ["cache-aside", "rate-limiting-token-bucket"]
}
decision "use-postgresql-rls" {
rationale = "PostgreSQL Row-Level Security provides database-enforced tenant isolation"
status = "accepted"
}See exactly what patterns, services, and infrastructure will be created. Review architecture decisions before committing.
HCL format integrates seamlessly with Git. Track architecture changes, review PRs, maintain history.
Change tech stack, add services, or modify patterns by editing DSL. No need to regenerate from scratch.
Submit PRD
Review DSL
Edit if needed
Generate Code
Deploy
The DSL review step gives you control. Unlike black-box generators, you see and approve the architecture before code generation.
Most generators force you to get requirements perfect upfront. Bootstrpp collaborates with you to transform vague ideas into production-ready specifications—guided by 70+ proven patterns.
2 minutes
Build a SaaS for Teams Requirements: • Users should collaborate on projects somehow • Need real-time updates (websockets maybe?) • Multi-user support with teams/orgs • Secure authentication • Should scale well Tech preferences: • Modern stack (React? Node?) • Cloud-ready
30 seconds
Authentication mechanism not specified
Data model undefined
Scaling strategy unclear
Multi-tenancy architecture missing
Observability strategy undefined
OAuth2 + JWT
Enterprise authentication pattern
Row-Level Security
Multi-tenancy pattern
Event-Driven Architecture
Scalability pattern
WebSocket Pub-Sub
Discord pattern
15 seconds
Battle-tested patterns matched to your requirements
3
Patterns Selected
95%
Avg. Match Score
10M+
Users at Scale
Battle-tested pattern for SaaS applications
Your PRD mentioned "multi-user support with teams/orgs" — without proper isolation, tenant data can leak across boundaries
Enterprise SaaS platforms serve thousands of organizations with zero cross-tenant breaches using this pattern
Beats application-level filtering (too risky) and separate DBs per tenant (too expensive at scale)
Higher security & lower cost vs. slightly more complex queries
Proven at: Discord, Figma, Notion
Your PRD requires "real-time updates" — polling creates lag and wastes resources at scale
Discord handles 19M concurrent users with <50ms update latency using this pattern
Beats long polling (inefficient) and server-sent events (one-way only) for bidirectional real-time needs
Sub-100ms updates & unlimited scale vs. connection state management
Industry-standard pattern for secure enterprise authentication
Your PRD needs "secure authentication" — custom auth systems have 89% more vulnerabilities than standards
GitHub serves 100M+ developers with zero major auth breaches since 2008 using this pattern
Beats custom auth (too risky) and session cookies (limited scalability) for modern SaaS requirements
Industry-standard security & SSO support vs. token refresh complexity
Enterprise Auth verifies users → Multi-Tenant Isolation restricts data access → Real-Time Broadcasting syncs changes across team members = Figma/Notion-class collaborative architecture
Complete ✓
Precise, validated requirements
Team Collaboration Platform - Production Spec
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Architecture Patterns Applied:
• Multi-tenant data isolation (Row-Level Security)
• Enterprise authentication & authorization (OAuth2 + RBAC)
• Real-time event broadcasting (WebSocket Pub-Sub)
Data Model:
Organizations (tenant boundary)
├─ Teams (collaboration unit)
├─ Users (RBAC: Owner, Admin, Member)
└─ Projects
└─ Tasks (real-time sync)
Real-Time Collaboration:
✓ Low-latency connection management (<100ms)
✓ Event distribution across clients
✓ Presence detection & activity indicators
✓ Optimistic updates with conflict handling
Security & Compliance:
✓ Database-level tenant isolation
✓ Token-based authentication with rotation
✓ Rate limiting per user
✓ Comprehensive audit logging
Production Infrastructure:
✓ Container orchestration with auto-scaling
✓ Full observability stack (metrics, logs, traces)
✓ Automated CI/CD pipeline
✓ 70% minimum test coverage (enforced)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Ready for code generation → "We don't generate prototypes. We generate production systems with battle-tested architecture proven at scale."
Enterprise-grade architecture. Built-in observability. Security from day one.