“It broke when real customers showed up.”
That is traction. The product proved its value; now the infrastructure has to survive demand. We rebuild the parts that were never meant to carry production load.
PRODUCTION ENGINEERING FOR AI-BUILT SOFTWARE
Turn your working prototype into production-grade software.
You have already proven the idea. We help you turn it into software that is secure, scalable, maintainable, and ready for real-world use.
vygo preserves the experience and workflows your users already value, then strengthens the foundation beneath them—from architecture and infrastructure to security, testing, observability, and deployment.
Every engagement begins with a technical audit. From there, you receive a fixed-price production plan, delivery by senior engineers, and a complete handoff of the finished product and source code.
Senior engineers · Fixed price after audit · Typical delivery in 6–20 weeks · Full IP handoff
Built for products created with Lovable, Cursor, Replit, Bolt, v0, and more:
Lovable
An AI full-stack application builder that generates React, Vite, and Tailwind CSS codebases from natural language prompts.
CursorAn AI-first code editor built as a fork of VS Code, providing inline code generation, chat assistance, and composer capabilities.
ReplitA collaborative browser-based workspace that utilizes the Replit Agent to build, run, and deploy software applications automatically.
BoltA browser-based development environment that spins up full-stack web projects with automatic package installation and container-based execution.
v0A generative UI system created by Vercel that builds React components and layouts using Tailwind CSS and shadcn/ui.
Claude CodeA command-line interface agent developed by Anthropic that reads, writes, edits, and navigates codebase files directly within the local terminal.
GrokAn AI assistant developed by xAI that provides real-time search capabilities and context-aware coding assistance across multiple programming languages.
GitHub CopilotAn AI pair programmer that provides autocomplete suggestions, chat support, and contextual codebase search within major IDEs.
WindsurfAn AI-powered development environment built on a flow state model that merges agentic capabilities with developer editor interactions.
Validated prototype
- Working UX
- Real user workflows
- Product knowledge
- Fast iteration
vygo production layer
Production platform
- Typed APIs
- Hardened Postgres
- SSO / RBAC / MFA
- CI/CD + automated tests
- IaC + separate environments
- Logs, metrics, tracing, alerts
FREE DIAGNOSTIC
Not sure how production-ready your prototype really is?
Take the free Readiness Check — a few guided questions surface the security, scalability, and operational gaps before they cost you a deal or an outage.
Step 1
Get set up for vibe coding first
Have you started vibe coding yet? What are you waiting for? Get started now with our kick-start Ratchet system and leapfrog everyone still using CLIs and applications that miss out on real-world learning from real-world power users.
Download the system zip into your project folder
Pick (or create) the folder where you want to work with your AI coding tool, and download Ratchet system guide v1.2 directly into it — no login, no form.
Open your AI coding tool in that same folder
Launch your AI coding tool (Claude Code, Cursor, or similar) with that folder as its working directory — the same one the zip just landed in.
Run the setup prompt
Paste this into your AI coding tool. It unzips the pack and finishes initial setup for you:
promptUnzip ratchet-guide-v1.2.zip in this folder, then read the pack in order: README.md, then overview → architecture → principles → layout → loop-and-missions. Follow the product contracts strictly: - Live deploy gate via an honest public version signal (tester judges the live URL only) - Builder proof-of-work from git state only (ignore agent claims) - Secrets only via a credentials boundary — never in builder env - Multi-step goals → multiple queue items - Optional infra ensure is fail-closed; prefer bound cloud project identities - Overnight helpers may observe only; they never implement product features Start with: loop + mock roles + mission shape validation. Then: goal capture + queue. Then: real builder/tester roles and a credentials boundary stub. Do not invent machine-specific install paths or operator runbooks.
Growing pains are proof it’s working.
A prototype is supposed to prove demand quickly. When real users, sensitive data, enterprise buyers, and operational pressure arrive, the engineering requirements change. That is not a product failure. It is the next stage.
“A security questionnaire is blocking the deal.”
The buyer already wants the product. We implement the controls, evidence, logging, access model, and operating practices needed to move the review forward.
“IT will not approve the rollout.”
SSO, role-based access, audit trails, tenant isolation, backups, and documented operations turn a useful app into a platform IT can evaluate seriously.
“Only one person understands the code.”
Tests, documentation, clean boundaries, repeatable deployments, and runbooks let a team carry the product forward without losing what made it valuable.
You did the hardest thing in software: proved people want it. What remains is production engineering.
The work you already did is the head start.
Your prototype contains months of decisions, user feedback, edge cases, and product learning. We treat that as valuable discovery—not as something to erase.
We keep
- The validated UX
- User-approved workflows
- Product rules and domain knowledge
- Features that have proven demand
- Useful data, migrated safely
- The speed and clarity of the original idea
We replace or harden
- Auto-generated monoliths without clear contracts
- Open or inconsistent data-access rules
- Fragile authentication and missing authorization
- One-click infrastructure with no environment separation
- Manual deployments and absent test coverage
- Console-log debugging and missing incident response
- Long-lived credentials and unmanaged secrets
Your MVP is the discovery phase, done. We begin with answers instead of spending months rediscovering the product.
The production layer AI tools do not provide by themselves.
Production engineering
Typed services, versioned APIs, reliable background jobs, automated tests, code review, CI/CD, and maintainable architecture.
Security by design
Threat modeling, secure defaults, SAST and dependency scanning, secrets management, least privilege, and remediation before launch.
Identity and access
SSO and SAML where required, MFA, role-based access control, tenant isolation, service-account discipline, and full audit trails.
Compliance readiness
SOC 2 and ISO 27001 control implementation, evidence workflows, policies, audit support, and independent penetration-test coordination.
Scale and reliability
Infrastructure as code, separate environments, autoscaling strategy, performance testing, observability, SLOs, backups, and disaster-recovery planning.
A codebase your team can own
Architecture documentation, runbooks, test suites, deployment instructions, and full ownership of the code, infrastructure, and IP at handoff.
FREE GUIDE
Get the Ratchet system guide.
A free, downloadable guide to the build-and-verify loop we use for AI-built software — overview, architecture, and a rebuild checklist. Optional updates signup never blocks reading or download.
A fixed methodology, not open-ended consulting.
Audit
Weeks 1–2
Codebase, security, data, architecture, and operational assessment. Deliver a findings report and fixed-price plan.
Architect
Weeks 2–4
Define the target architecture, data model, environments, delivery pipeline, security boundaries, and compliance-readiness roadmap.
Rebuild
Weeks 4–10
Re-engineer core services and migrate data while preserving the validated UX and product behavior.
Harden
Weeks 8–12
Run security, load, failure, backup, and recovery testing. Add observability, alerting, and operational controls.
Certify-ready
Weeks 10–16
Implement policies and evidence workflows, support the audit process, and coordinate required third-party testing.
Operate
Ongoing
Keep the platform secure, observable, and moving—with compliance-readiness upkeep through vygo Ops.
Every build ships with independent QA sign-off and structured UAT—a dedicated QA & UAT Lead from day one, on every engagement.
START HERE
Know exactly what has to change before you fund the rebuild.
The Production Readiness Audit is a two-week review of your code, architecture, security, scalability, and compliance-readiness gaps. You receive a prioritized findings report and a fixed-price plan. The report is yours to keep either way.
$15K · credited toward your build
Deliverables
- Codebase and architecture assessment
- Threat model and security findings
- Keep-versus-rebuild map
- Data and access-control review
- Production architecture blueprint
- Compliance-readiness gap analysis where relevant
- Prioritized remediation roadmap
- Locked scope and fixed-price proposal
Simple engagements. Fixed prices.
Launch
6–8 weeks
From $75K
Best for a validated product that needs production infrastructure, reliable auth, tests, CI/CD, monitoring, documentation, and a controlled launch.
- Live production application
- Hardened infrastructure and authentication
- Automated tests and deployment pipeline
- Monitoring and operational runbooks
- Full IP handoff
- Structured UAT program — your team validates every feature before cutover
- Independent QA sign-off on every release
Scale
10–14 weeks
From $145K
Best for a growing product that needs re-architecture, stronger access controls, a third-party penetration test, load testing, and SOC 2 Type I readiness work.
- Everything in Launch
- Growth architecture and data migration
- RBAC and SSO-ready identity model
- Penetration-test report and remediation
- Load testing and SLO dashboards
- SOC 2 Type I readiness program
- Full IP handoff
- Structured UAT program — your team validates every feature before cutover
- Independent QA sign-off on every release
Enterprise
16–20+ weeks
$275K+
Best for complex multi-tenant products, enterprise integrations, SSO/SAML, higher availability requirements, complex migrations, SOC 2 Type II programs, and an ISO 27001 path.
- Dedicated senior pod
- Enterprise access and tenant architecture
- SLA-ready infrastructure and disaster recovery
- Complex data and integration work
- Type II evidence program and auditor coordination
- ISO 27001 pathway where required
- Full IP handoff
- Structured UAT program — your team validates every feature before cutover
- Independent QA sign-off on every release
Security is not a handoff checklist. It is part of the build.
Application securityIdentity and accessData protectionInfrastructure securityOffensive testingDetection and response
We do not disappear at launch.
The same team that rebuilt the product can stay accountable for uptime, security, compliance-readiness evidence, and continued feature delivery through vygo Ops.
Keep It Running
$8K/month
Keep It Compliant
$15K/month
Keep It Growing
$25K/month
Month-to-month after the initial commitment. Everything remains documented so another qualified team can take over.
Senior people on the work. Accountability after the launch.
01
Senior-only delivery
No junior bench learning on the product.
02
Full IP handoff
You receive the complete product, source code, and infrastructure—no lock-in.
03
Fixed price after audit
The audit defines the scope before the build begins.
04
Security and compliance readiness
Controls, evidence, and operating practices are built into the delivery—not bolted on after launch.
05
Aligned for the long term
Ongoing operations keep incentives connected after launch.
Frequently asked questions
vygo supports Lovable, Cursor, Replit, Bolt, v0, Claude Code, Grok, GitHub Copilot, and Windsurf.
Every engagement includes a dedicated QA & UAT Lead who verifies the software — separate from the engineers writing the code — so the people checking the work are never the people who built it. The QA & UAT Lead runs functional and user-acceptance testing before launch as a standard part of every project. You approve what ships; we verify it works.
Vibe coding is the practice of developing software where a user provides natural language instructions to AI coding tools, such as Lovable, Cursor, Replit, Bolt, or v0, which automatically generate and edit the application's code.
vygo performs a Production Readiness Audit on codebases generated by tools like Lovable, Cursor, Replit, Bolt, and v0, then rebuilds the architecture underneath to implement production-grade security, scalability, and compliance controls.
Your MVP earned a real launch.
Tell us what you built, what is blocking the next stage, and when the deadline matters. We review applications against the next available Production Readiness Audit and engineering opening.