Hidden product rules
Make implicit behavior explicit before the next feature depends on it.
I extract the business rules living inside screens, prompts, and one-off handlers so future changes have a stable place to land.
Turn your vibe-coded app into software your business can trust.
Postcode helps businesses professionalize AI-generated applications: cleaner architecture, stronger types, safer releases, and a lower-risk path forward than starting again from scratch.
Common starting points I help stabilize
- Next.js
- Supabase
- Stripe
- Clerk
- OpenAI
- Vercel
The second pass your AI-built product needs.
Agents are excellent at creating momentum. Postcode supplies the structure, review discipline, and technical judgment needed once the app starts carrying real business value.
Convert generated screens and glue code into typed modules, explicit data contracts, and extension points a senior engineer can reason about.
stabilization/architecture-translation
Route boundaries
inspected, typed, and documented
Domain services
inspected, typed, and documented
Shared utilities
inspected, typed, and documented
Deliverable
Architecture map and prioritized refactor plan
The traps usually appear after the demo works.
The first version proves demand. The next version needs boundaries, discipline, and the confidence to change important code without restarting the product.
Generated duplication
Replace repeated agent output with shared, typed utilities.
Duplicate validation, formatting, fetching, and persistence code becomes small reusable modules with useful names and accurate types.
Release confidence
Cover the paths that matter instead of chasing test coverage theater.
I add targeted regression tests, type checks, and review gates around the user journeys and integrations that can damage trust.
Get a scoped assessment before you rewrite
Send the repo context, your stack, the next feature you need, and the part of the app that currently feels hardest to change.
Email the briefField notes for teams deciding what to do next.
The articles explain common failure modes in vibe-coded apps and help buyers understand when professionalization beats a rewrite.
Architecture
The moment a vibe-coded app stops being cheap
Generated code is inexpensive while requirements are fluid. The cost arrives when every feature has to rediscover the same hidden rules.
- Repeated prompting compounds structural debt
- Missing architecture looks like missing polish at first
- Translation is often cheaper than a clean-room rebuild
Maintainability
Five smells agents cannot reliably fix by themselves
Agents can patch obvious defects, but they struggle when the real problem is a vague boundary, duplicated concept, or absent product rule.
- State living in too many places
- Schemas mirroring screens instead of concepts
- Tests asserting generated behavior, not business intent
Buying guide
What to ask before paying for a rewrite
A rewrite is sometimes right. Most teams need a smaller sequence: stabilize, extract the domain, then replace risky pieces deliberately.
- Questions that expose rewrite risk
- Ways to preserve the working product during cleanup
- A quote structure for staged remediation
AI workflow
How to keep using agents after the codebase grows up
The answer is not to ban AI. It is to give agents clearer context, stronger boundaries, and review gates that make good output more likely.
- Repository instructions that actually constrain work
- Task prompts shaped around existing architecture
- Review habits that catch generated shortcuts
Operations
Production readiness for apps built at prototype speed
Real users reveal gaps in permissions, observability, data integrity, and release process long before they reveal grand architecture theory.
- The release paths worth testing first
- Where generated apps commonly lose data guarantees
- How to prioritize operational fixes
Refactoring
Modernize the app without erasing what already works
A working product contains valuable product decisions. The job is to separate those decisions from brittle implementation details.
- How to identify product behavior worth preserving
- Where to create typed replacement boundaries
- When to leave code alone for now
Engagements sized around the risk you need to remove.
Start small with a diagnostic, then invest in the code paths that unblock growth. Pricing is scoped after reviewing the product and repository.
Assessment
A short technical and product risk review before you commit to a bigger remediation effort.
Fixed scope
- Repository and architecture review
- Critical workflow risk map
- Rewrite versus remediation recommendation
- Scoped next-step estimate
Stabilization sprint
Focused remediation for the product paths that make the app risky to sell, operate, or extend.
2-4 weeks
- Typed boundaries and shared utilities
- Regression tests for critical flows
- Data and permission hardening
- Deployment and observability cleanup
- Agent handoff instructions
Modernization roadmap
A longer plan for teams that need to keep shipping while replacing fragile generated foundations.
Staged
- Incremental migration sequence
- Ownership and review model
- Architecture decision records
- Monthly technical advisory option
Frequently asked questions
A few practical answers for teams deciding whether to stabilize, modernize, or rewrite an AI-built app.
Do I need to stop using agents?
No. The goal is to make agents safer by giving them clearer architecture, better repo instructions, typed contracts, and review gates.
Is this a rewrite service?
Not by default. I start by identifying what is already valuable, then replace brittle pieces only when that is cheaper or safer than stabilizing them.
What kind of app is a fit?
The best fit is a working web app with real business value, a growing feature backlog, and increasing friction from generated code.
What do you need for a quote?
A product summary, stack, repository status, deployment notes, and the next feature or operational risk that made the current app feel limiting.
Can you work with an existing team?
Yes. The work can be delivered as a focused implementation sprint, technical advisory, or a handoff package for your team to continue.
Will you keep the product running during cleanup?
That is the point. The safest remediation plan preserves working behavior while moving risky pieces behind clearer boundaries.
What stacks do you support?
Most modern TypeScript web stacks are a fit, especially Next.js, React, Node, Postgres, Supabase, Stripe, Clerk, Vercel, and OpenAI-based products.
How long does an assessment take?
A focused assessment is usually short and scoped. Stabilization work commonly lands in two to four week slices depending on risk and repo size.
What happens after the first sprint?
You get a clearer codebase, a risk-ranked roadmap, and guidance on which future tasks are safe for agents versus senior engineering review.