AI Code review for Hubspot Integration

We've completed a full codebase for integrating our SaaS marketing platform with HubSpot CRM. Our internal API team has reviewed the work and believes it's close to deployment-ready — but before we go live across our ~200-dealer customer base, we want an experienced outside set of eyes on it. What we need: A thorough code review of the existing integration (Node.js/Express backend, multi-tenant architecture, HubSpot API + Evolved Office REST API) Clear documentation of bugs, architectural risks, security concerns, and anything that could break at scale Honest assessment of what's production-ready vs. what needs rework The bigger picture: This isn't a one-time project. We're building toward a model where we can ship integration code at scale — leveraging AI tools like Claude Artifacts, Codex, or whatever you'd recommend for our stack. We want a developer who can both fix what's in front of us and help us establish the right AI-assisted development workflow going forward. Ideal candidate: Strong Node.js/Express background with API integration experience Familiar with HubSpot's CRM API (contacts, deals, workflows, webhooks) Has an opinion on AI code generation tools and how to use them responsibly in production Can communicate clearly — we need to understand why something is wrong, not just that it is If you've helped teams move from "almost ready" to "actually deployed" and you have thoughts on scaling code output with AI tooling, we'd love to hear from you.