Use Case / Founder-Led SaaS

Escaping the
MVP Trap.

We partner with technical founders at the Series A inflection point. Transform brittle "founder code" into scalable, SOC2-ready infrastructure without stalling product velocity.

Monolith -> Microservices
01

When "Move Fast" Breaks Everything

You built the MVP yourself. It found product-market fit. But now, that same codebase is the bottleneck. Onboarding new engineers takes weeks, deployment is stressful, and you're terrified to touch the billing logic.

We specialize in the "Series A Wall"—the moment when you need to transition from a chaotic feature factory to a disciplined engineering organization without losing your startup soul.

Technical Debt
4.5 Wks

Avg time to onboard new engineer.

Target: < 1 Week

02

Decoupling the Monolith

We don't just "rewrite" (which kills startups). We apply the strangler fig pattern to incrementally replace legacy systems with strongly-typed, testable micro-services or modular monoliths.

Legacy Core

Untyped JS / Python

API Gateway

Trpc / GraphQL Layer

New Modules

Rust / Go / TS


03

Engineering Culture & Tools

Strict Type Safety

End-to-end type safety. We migrate loose Javascript to strict Typescript, catching 15% of bugs before they hit production.

Living Docs

Auto-generated API documentation (Swagger/OpenAPI) and Storybook implementation for UI consistency.

CI/CD Pipelines

Ephemeral preview environments for every PR. Automated linting, testing, and security scanning on commit.

Observability

Implementation of OpenTelemetry. Trace requests from frontend click to database query to identify latency.


04

Infrastructure as Code

terraform/main.tf
resource "aws_db_instance" "production" {
  allocated_storage       = 100
  engine                  = "postgres"
  instance_class          = "db.t3.large"
  multi_az                = true
  storage_encrypted       = true
  backup_retention_period = 30
  
  # Compliance Tags
  tags = {
    Environment = "Production"
    Compliance  = "SOC2"
    ManagedBy   = "Terraform"
  }
}

We codify your entire infrastructure. No more clicking in the AWS/Vercel console. Everything is versioned, auditable, and reproducible for SOC2 audits.

05

DORA Metrics Impact

Metric Before After Optimization
Deployment Frequency Weekly (Painful) On Demand (Multiple/Day)
Lead Time for Changes 7-10 Days < 4 Hours
Change Failure Rate 12% 0.5%
Mean Time to Recovery 24 Hours 30 Minutes

Stop fighting your own code.

Schedule a 30-min codebase audit. We'll identify your biggest scalability risks and propose a roadmap.

Book Technical Audit