From Prototype to Production
Your AI-built MVP works. Let's make it ship-ready.
You used Cursor, Claude, or ChatGPT to build a working prototype. But production demands things that actual human engineers handle better: proper architecture, test coverage, security hardening, CI/CD pipelines, monitoring, and infrastructure that scales. We take what you've built and make it ready for real users.
What We Deliver
Architecture Review & Refactoring
Evaluate the AI-generated codebase, identify fragile patterns, establish clean module boundaries. We look for targeted changes that will make the codebase more robust and scalable.
Test Coverage & Quality Gates
Unit, integration, and end to end tests. Quality gates so issues get caught before users do.
CI/CD & Deployment Pipeline
Automated build, test, and deploy. Staging environments, rollback strategies, zero-downtime deployments.
Security Hardening
Audit for vulnerabilities AI tools introduce: exposed secrets, missing validation, broken auth, insecure dependencies.
Infrastructure & Scalability
Cloud setup (GCP, AWS, Azure) with proper networking, autoscaling, and cost optimization.
Monitoring & Observability
Logging, error tracking, performance monitoring, and alerting so you know when something breaks before your users do.