Refactoring Hera Fertility for scale
How an AI-assisted rebuild took a vibe-coded MVP into production infrastructure a founder could build on.
An MVP that worked — but couldn't scale
Hera Fertility had shipped an ambitious vibe-coded prototype that resonated with patients immediately. Growth outpaced the architecture: authentication was stitched across three providers, the database layer was copy-pasted from tutorials, and every deploy was a manual SSH session.
The founder was spending more time firefighting than building features. The tool that started as a weekend project needed to become real software — without tearing up the product that users already loved.
Refactor in place, not rebuild from scratch
We mapped the existing flows, identified the three systems under the most load, and replaced them one at a time behind feature flags. The product stayed up the entire time — no big-bang migration, no customer-visible downtime.
Every change came with tests, a CI pipeline, and runbooks so the founder could keep shipping once we handed it back.
The four things that moved the needle
Hardened auth
Consolidated three auth providers into one provider with a thin adapter. Sessions now survive deploys.
Typed database layer
Introduced a typed ORM with migrations in version control. Schema changes are now reviewable and reversible.
CI + one-click deploys
GitHub Actions runs tests on every PR and auto-deploys to staging on merge. Production deploys are a single click.
Observability
Error tracking + performance monitoring + uptime alerts wired into a shared channel. The founder sees issues before users do.
Measured as the founder's weekly shipped-feature count compared to the three months before the engagement.
Talk about your project“Courtney at Opichi was awesome. He helped me refactor our app after we grew super fast and needed to level up our infrastructure. It was honestly a tough project, but he was super patient and made sure everything was done right — from building to deployment. He set things up so I could keep building confidently on my own.”
Six months in
Scaling headroom validated in load tests at 5× steady state.
Docs and typed codebase let new contributors ship in week one.
On the core auth + payment paths that had zero coverage at the start.
Let's make your AI-built app production-ready
Whether you're 80% of the way there or back at the drawing board, Opichi takes vibe-coded prototypes into real software.
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