Turn an existing app into software customers can depend on.
I harden inherited and AI-assisted applications across authentication, data boundaries, backend reliability, deployment, monitoring, recovery, and production operations.
For software with users, revenue, funding, or a committed launchSoftware that already matters to someone
This service is for products with real users, revenue, meaningful internal operations, funding, or a committed launch — systems where failures already have consequences. It is not a low-cost rescue for idea-stage prototypes.
- Authentication, session handling, and account/tenant separation
- Data boundaries, permissions, and multi-tenant isolation
- Backend reliability: error handling, retries, background jobs, and queues
- Database integrity, migrations, backups, and restore tests
- Deployment, environments, secrets, and rollback
- Logging, monitoring, and alerting that distinguishes real failures from noise
- Tests around the workflows the business actually depends on
Is this the right service?
An honest self-check. If your project is below this bar, I will say so quickly on the call.
Good fit
- Your software has real users, revenue, funding, meaningful internal operations, or a committed customer launch.
- You inherited a codebase whose original team, agency, or contractor is gone.
- Your AI-assisted or rapidly built app now needs dependable authentication, data boundaries, and operations.
- You can name the reliability, security, or launch-readiness problem, and someone on your side can grant access.
Not a fit
- Your project is still an idea, with no users, budget, or committed launch.
- You expect a prototype rescue to cost as little as generating the prototype did.
- You want equity-only or unpaid work.
- Only screenshots are available, with no repository or system access.
If the shape of the problem is different
Nothing built yet, but a defined scope?
A funded greenfield build with a clear first version is a different service, with a written scope and fixed price.
See defined product builds →Payments or financial data failing?
Stripe, QuickBooks/ERP, webhook, sync, and reconciliation failures are my primary service, with their own diagnostic path.
See payment & financial integration repair →Common questions
Do you work with AI-generated codebases?
Yes. The relevant question is not how the first draft was produced but whether your app’s behavior, data boundaries, failure modes, deployment, and recovery are dependable. I assess which parts I can safely keep and what must change for real users.
We inherited a codebase and the original developers are gone. Where do you start?
I start with a map: what runs where, what the data model actually is, which workflows matter commercially, and where the riskiest gaps are. Then I harden the system in small, prioritized steps rather than an open-ended rewrite.
Is this a rewrite?
Usually not. My default is to harden your existing system — production readiness is mostly about authentication, data correctness, reliability, deployment, and observability, not about replacing working code. I only propose a rewrite when the evidence supports it.
What does “production ready” mean here?
We agree it in writing for your system: which workflows must work, how failures surface, what is backed up and restorable, how deploys and rollbacks happen, and what your team can observe after handover — not a generic checklist.
What if the real problem is a payment or accounting integration?
Then payment and financial integration repair is the right place to start — it is its own service, with its own diagnostic path.
Tell me what exists, who depends on it, and what must become dependable
We’ll spend 15 minutes on the product, its current state, and your deadline. You’ll leave knowing whether production hardening is the right next step — and where to begin if it is.