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.

Get a quoteRead the field notes

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.

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.

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.

Request a quote

Field notes for teams deciding what to do next.

Articles on the point where AI-assisted prototypes need clearer architecture, stronger types, and more durable workflows.

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
Request quote

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
Request quote

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
Request quote

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.