From AI-built to production-ready
Four steps, no mystery. We read your code, tell you exactly what stands between you and real users, quote a fixed price to fix it, and then ship it with you.
The shape of an engagement
Nothing is billed before you have a fixed quote in writing.
Four steps from where you are to production
Each step has a defined start, a defined end, and something concrete you walk away with.
- Step 01Day 0 · a 30-minute call
Submit Your Project
A repo link and a paragraph is enough to start.
What you do
- Send a repo link, a live URL, or a screen recording if the app lives inside a builder
- Describe who uses it today and what it has to survive next month
- Name the deadline and the thing you are most worried about breaking
What we do
- Reply within one business day with a call slot, not a form to fill in
- Ask the four or five questions that actually change the scope
- Confirm exactly what access we need, and what we do not need
What you get
- A call with the engineer who will read your code, not an account manager
- A straight answer on whether this is worth doing at all right now
- A written scope for the audit, at no cost and with no commitment
- Step 023–5 business days
We Audit & Plan
A ranked list of findings and a fixed-scope plan. Free, 3–5 days.
What you do
- Grant read-only repository access and point us at a staging environment
- Flag the flows that touch money, personal data, or authentication
- Stay reachable for a handful of clarifying questions
What we do
- Run static analysis, dependency advisories, and secret scanning across the repo and its git history
- Read the code paths that matter by hand: auth, access rules, payments, data access
- Test the failure modes: permissive row-level security, unbounded queries, missing indexes, ephemeral storage
- Push the app under realistic load and record what degrades first, and at what number
What you get
- A written report where every finding is rated by severity and backed by evidence
- A cost model for your current stack at 10x and 100x today's traffic
- A fixed-scope, fixed-price plan, yours to keep whether or not you hire us
- Step 032–5 weeks, typically
Build & Harden
Security first, then the data layer, then performance. CI/CD and monitoring wired up as we go.
What you do
- Keep shipping features in your builder if you want to. We coordinate the merges
- Review pull requests at whatever depth you are comfortable with
- Answer the product questions hiding inside some of the fixes
What we do
- Close every critical and high-severity finding, and add a test that fails without the fix
- Rewrite access rules per role, move privileged keys server-side, and rotate anything that leaked
- Add the missing indexes, pagination, and query limits the audit found on hot paths
- Stand up CI/CD, preview environments, error tracking, structured logs, and backups with a real restore drill
What you get
- A weekly written update: shipped, in progress, blocked, and what we need from you
- Changes you can read branch by branch, never a black box drop at the end
- Before and after numbers on every metric the audit measured
- Step 04Cutover day, then 30 days of support
Deploy & Support
We ship it with you and watch the first real traffic together.
What you do
- Pick the window and tell your users, if a window is needed at all
- Watch the dashboards with us through the first hour of real traffic
- Decide afterwards whether you want us to keep operating it
What we do
- Deploy from the pipeline, with the rollback rehearsed before we touch production
- Watch latency, error rate, and spend against the baseline from the audit
- Hand over runbooks, architecture notes, and credentials stored in accounts you own
What you get
- A production app running on infrastructure that belongs to you
- A runbook for deploys, rollbacks, secret rotation, and restoring data
- 30 days of post-launch support, then a managed plan only if you want one
What we actually check
Not a scanner report with 400 low-severity lines. These are the checks that decide whether an AI-built app survives its first real users.
Security
- Row-level security policies tested per role, not merely switched on
- Service-role and admin keys absent from every client bundle we can download
- Authorization enforced server-side on each mutating endpoint, not only in the UI
- Auth flows checked for session fixation, token leakage, and weak password reset
- Secrets scanned across git history, not just the working tree
Data
- Schema reviewed against your real access patterns rather than builder defaults
- Foreign keys, unique constraints, and NOT NULL where the data actually demands them
- Migrations that reproduce the database from empty, on a clean machine
- A PII inventory: what is stored, where it is copied to, and how it gets deleted
- No unbounded SELECT on hot paths; pagination and limits on every list view
Performance
- p95 and p99 latency measured under load, not just the median on an idle box
- Query plans read for the slowest endpoints, and the missing indexes added
- N+1 queries traced from the API call down to the statements it fires
- Client bundle weight, render-blocking assets, and unoptimised image payloads
- Cold starts, connection-pool ceilings, and the concurrency limit you hit first
Reliability
- A restore drill run against a real backup, timed and written down
- Health checks that fail when the app is broken, not only when the process is dead
- Error tracking with alerts routed to a human who is expected to answer
- Timeouts, retries, and rate-limit handling on every third-party call
- Behaviour under partial failure: what still works when the database is slow
Deployment
- Builds reproducible from a clean checkout on CI, not from someone's laptop
- Development, staging, and production separated, including their data
- Rollback tested rather than assumed, with the command written in the runbook
- No dev server, debug mode, or verbose stack traces facing the internet
- Secrets injected at runtime from a managed store, scoped per environment
Cost
- Today's bill broken down per service, per environment, and per active user
- Projected spend at 10x and 100x traffic, with the first line that breaks
- Egress, log retention, and storage growth: the charges that surprise people
- Idle capacity, oversized instances, and environments nobody uses any more
- Build minutes, workload units, and per-seat pricing that scales against revenue
This is the shape of the checklist, not the whole of it. The list adapts to your stack. A Supabase project and a container running on ephemeral disk fail in very different ways, and both of those are common.
Working with us
How the collaboration actually runs, so there are no surprises in week two.
Async-first
You get a shared Slack or Discord channel and answers in hours.
A written update every week
Every Friday: what shipped, what is in progress, what is blocked, and what we need from you.
Everything lands on branches
Work arrives as pull requests in your repository, reviewable at whatever depth you like.
You keep shipping
No roadmap freeze. Keep building features in Lovable, Replit, or Base44 while we harden the foundation underneath, and we coordinate the merges around you.
Fixed scope after the audit
The audit produces a written scope and a fixed price before any work starts.
Your accounts, your keys
Infrastructure is created in accounts you own and credentials live in your secret store.
What you get at the end
Handed over in your own repository and your own cloud accounts. None of it depends on us still being around.
The production-readiness report
Every finding ranked by severity, with the evidence that produced it and an effort estimate for the fix.
A hardened codebase
Critical and high-severity findings closed and verified, each on a branch you had the chance to read.
A pipeline you can trust
CI with tests, preview environments per pull request, and a rollback that has actually been executed once.
Monitoring that reaches a person
Uptime checks, error tracking, and structured logs, with alerts routed to a channel someone reads.
Backups proven by a restore
Automated backups plus a documented restore drill, including how long the restore took.
Before and after numbers
Latency, error rate, bundle size, and monthly infrastructure cost, measured the same way at both ends.
A runbook your team can follow
Deploys, rollbacks, secret rotation, restores, and the architecture decisions behind them, written into your repo.
Thirty days of support
After launch we stay on to handle whatever real traffic surfaces, with no obligation to continue afterwards.
Before you book the call
The audit is 3–5 business days from the moment we have access.
No. The report is written to be useful on its own: ranked findings, evidence, and effort estimates you can hand to your own developer or use to raise.
Almost never. Rewrites are expensive, slow, and they throw away the product decisions your users already validated.
Often yes. Plenty of teams keep the builder as their design and prototyping surface while production runs on hardened infrastructure.
For the audit: read-only repository access and, ideally, a staging environment.
The first call and the consultation are free. Fixed-scope projects start at $2,000 and are quoted after the audit, so you see the number before committing.
Find out what is actually standing between you and launch
The consultation is free and the audit report is yours to keep either way.