Now accepting rescue projects

Your AI shippeda product.A prototype.

Built with Lovable, Replit, Cursor or Bolt? We build the part AI skips — authorization that holds, tests that catch regressions, deploys you can undo.

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It is not just your build

The tools got better at working code. Not at safe code.

Findings from people with no product to sell you.

Error volume · before and after real users

Nothing about the prototype changed. The load did.

  • 45%of AI code tasks shipped a known flaw

    Veracode, 2025

  • 86%failed to defend against XSS

    Veracode, 2025

  • 82%have no governance for AI code

    Checkmarx, 2025

  • 10×more duplicated code in two years

    GitClear, 2025

None of these says AI tooling is a bad idea — we use it every day. They say the same thing our audits say: generated code reaches working long before it reaches safe, and nothing closes that gap on its own.

What actually goes wrong

It works.
Only until you run real checks.

A demo that runs proves the features are there. It says nothing about whether your data is reachable, whether a bad deploy can be undone, or what happens when a thousand people arrive at once.

Open any card for what it looks like, why it happens, and what it costs.

None of this is a defect in the tools — each follows from optimising for a working demonstration, which is what you asked for. Being predictable is what makes them fixable on a schedule instead of discovered in an incident.

Where your app came from

Every tool leaves a different gap.

What is missing depends on what generated it. A design-led generator leaves you needing a data layer; a full-stack generator leaves you needing the operational one. Start with the tool you used — and if yours is not here, the framework applies just the same.

Why this needs someone else

You can't prompt your way out of this one.

The honest part of the pitch: plenty of teams close some of these themselves. But a few things make this gap resistant to the approach that created it.

  • You cannot see what was never built

    Every failure above is an absence — a rule never written, a test that never existed, a rollback nobody set up. Absences throw no errors and appear in no log, so reviewing your own app surfaces what looks wrong, not what was never there.

    See the full checklist

  • The tool cannot audit its own blind spot

    Ask the same class of tool to check its own work and it reports confidently against the brief it was already given. The gap is not a mistake it made — it is scope nobody asked it to cover.

    How a real audit differs

  • The order matters more than the effort

    Hardening performance before access control means doing the work twice and leaving the worse problem open meanwhile. Knowing what blocks a launch and what waits a quarter is judgement earned operating systems, not reading about them.

    How we sequence the work

  • Production is a system, not a punch list

    Tests are what make a rollback trustworthy; monitoring is what makes a deploy safe. Fixed one at a time they stay fragile — fixed as one system, moving fast stops being risky.

    What that looks like in practice

Start with the one you already recognise.

Each guide covers what the failure looks like, why it happens, and a self-check you can run yourself in an afternoon — without us.

What you actually get

As many as 49 checks. A score you can argue with.

Not a generic security list with an AI label on it. Every item is something we have had to add to a real application a generative tool had already called finished — and it grows as the tools find new ways to leave things out.

  • Weighted by category — access control counts double, because one failure exposes every user at once
  • Passed or failed on evidence: the file, the line, and the fix. No partial credit, no adjective-only findings
  • Reviewed against OWASP Top 10 and ASVS Level 2, WCAG 2.2 AA and Core Web Vitals — recognised standards, not house opinion
  • Extra checks layered on for regulatory, compliance or unusual scale
  • Published in full, so you can run the whole thing yourself
Get my scorecard
Illustrative example: a sample run of IndiaNIC’s production-readiness audit against a placeholder repository, printed as command-line output. It walks all 8 weighted categories of the framework and scores the sample 60 out of 100. The full checklist is published at /vibe-to-production/checklist.
Production readiness checklistSample run

Illustrative sample · real checks, example verdicts

What happens next

One step at a time. You can stop after any of them.

Nobody can price this work honestly before seeing the code, so nothing here starts with a proposal. This is the sequence, and each step produces something you keep.

  1. Access

    Before anything moves

    NDA signed and returned first. Then read-only access, scoped to the repository.

    We cannot commit, force-push or alter a branch — not by policy, by the access itself.

    Mutual NDA · signed
    • Countersigned and returned to you
    • Read-only token, scoped to one repository
    • Expires when the report is delivered

  2. Diagnostic

    72 hours

    Production engineers work through as many as 49 checks, across 8 weighted categories.

    People, not a scanner. Absences do not show up unless somebody is looking for them.

    Readiness score
    • Weighted across every category
    • Each check passed or failed on evidence
    • No partial credit, no adjectives

  3. Report

    With the score

    A scored findings document — every item with the file, the line and the fix.

    Hand it to any engineering team, including one that is not us, and they can act on it.

    Findings, ranked
    • Severe · authorization reachable without a rule
    • High · no rollback path on release
    • Each with file, line and effort to close

  4. Prioritize

    Same week

    One call to agree what blocks launch, what waits, and what you can ignore.

    The order is the judgement — and the part that saves the most money.

    Agreed sequence
    • Blocks launch — do first
    • Costs money quietly — do next
    • Safe to carry for a quarter

  5. Ship in milestones

    2–6 weeks

    Fixes land in reviewable increments, each deployable on its own.

    No big-bang rewrite and no dark period with the product in pieces.

    Milestone log
    • Each increment reviewable and deployable
    • Nothing merged without a test that would catch it
    • You can stop after any one
Who reads your code

Meet the engineers your repository actually goes to.

Top 1% of the bench

Engineers who have run the business end too.

Led teams, owned operations, answered for a budget. Around 500+ specialists behind them across some 92+ countries.

Full stack, end to end
Data, app, infra, pipeline, monitoring — one team.
Measured on outcomes
A milestone closes when the risk is gone.
The IndiaNIC office building
Inside the IndiaNIC development facility
The IndiaNIC team during a working session
IndiaNIC colleagues at the office
27+
Years building software
100+
Proofs of concept and MVPs
20+
Tools and products in real use
20+
Business solutions ready to ship
Who we've built for

The teams below didn't hire us to be clever. They hired us because it had to work on Monday.

Getting on for 27 years of production delivery — somewhere north of 8,000+ products for 3,000+ clients across 92+ countries. Not one of them was a demo that needed to look good for a week.

Ways to work together

Start with a diagnosis. Not a proposal.

The first step is always the same and it is fixed-price. Full deliverables for each option are on the pricing page, including what you could hand to an engineering team that is not us.

  • 72 hours

    Diagnostic Audit

    Find out exactly what stands between your prototype and real users.

    You have something working, you are about to put it in front of customers or investors, and you want to know what breaks first.

    $2K – $5K
    Start here
  • 2–6 weeksMost common

    Rescue & Ship

    Fix what actually blocks launch, then put it live.

    The foundation is sound but the production layer is missing — authorization, testing, deployment, monitoring.

    $5K – $25K
    Start here
  • 6–16 weeks

    Full Rebuild

    Keep the product. Replace the foundation.

    The prototype proved the idea, but its architecture will not survive the roadmap. Rebuilding costs less than fighting it for a year.

    $25K – $100K+
    Start here
  • from 3 months

    Co-Pilot Retainer

    An engineering team that stays.

    A named, dedicated team that stays with your codebase — reviewing, hardening and shipping alongside you as you keep building with AI tooling.

    $5K – $25K/mo
    Start here
Before you share anything
Your IP · 100% yours, in writing

Nobody has ever regretted sending us their repository.

Handing private code to anyone is a real decision, so everything below is settled before the audit starts rather than on request.

  1. An NDA is signed and returned before you send a linkStep one, every time
  2. Access is read-only, scoped to one repository, and time-boxedRevoked on delivery
  3. Our copy of your code is deleted when the report landsNothing retained
  4. We build for clients and never launch anything that competes with themNever has happened
In their words

Don't take our word for it. Take theirs.

Named clients, every one of them on camera. The full set is on the testimonials page.

“Production-grade AI, not a demo.”
John CleavesJury Tracker
“The AI agent they built saves our analysts 40 hours a week.”
Daniel LewisForex Signal
“Scaled with us through three growth stages.”
Ron Shai & SlavaFEPO Corporation
“Crafted a mobile experience that feels premium and calm.”
James CurrieBirding Expert
“The polish on this release is unreal.”
Ghedalia GoldPuzzable Game

Trusted by businesses across 92+ countries.

No-obligation diagnosis

Send us the repository. We'll tell you what's missing.

Fixed price, 72 hours to findings, and a report you can act on with or without us. Nothing is committed until you have read it.

NDA signed before you send anything · read-only access, revoked when the report lands · our copy deleted on delivery.

4.8/5Clutch4.9/5GoodFirms
FAQ

What founders ask first.

QIs it safe to send you my private repository?
Yes, and the sequence is designed around that question. An NDA is signed and returned before you send a link. Access is read-only and scoped to the repository, so we cannot commit or alter a branch even by accident, and it is revoked when the report is delivered. Our copy of the code is deleted at that point — it is not retained, reused on other engagements, or put into any training process.
QCould you end up competing with us?
No. We build for clients — we do not launch products that compete with the ones we are trusted with. It is not a concession we grant in a contract, it is simply not our business model, and in 27 years that has not changed. If it would help your board or your investors, we are happy to put it in writing alongside the NDA.
QWhat does vibe-to-production actually mean?
Taking an application built largely by AI tooling and adding what it needs to be operated safely by real people, for real users, with real data. In practice that means authorization enforced at the data layer, automated tests, a deployment pipeline with a rollback, and monitoring that alerts a human.
QDo you have to rebuild everything?
Usually not. Most AI tools now produce real code in conventional stacks, so most engagements are a rescue rather than a rebuild. A rebuild is the better economics only when the existing architecture cannot support where the product is going — and that is a judgement we make in the audit, before you commit to either.
QHow do I know whether my app is production-ready?
We score it against as many as 49 checks in weighted categories, out of 100, with further checks layered on where a product carries regulatory or scale obligations. The score matters less than what it decomposes into: a ranked list of what is missing, what each item would take to close, and which ones genuinely block launch.
QIs my app insecure because AI wrote it?
Not because AI wrote it — because nobody has yet done the part that AI tools do not set out to do. Every tool we cover is explicit that generating a working application and operating a production system are different jobs. The gap is predictable, which is also what makes it fixable.
QWe are pre-launch. Is it too early to talk to you?
It is the cheapest possible moment. Fixing authorization before you have users is a task; fixing it afterwards is a task plus a disclosure conversation. Almost everything we do costs less and takes less time the earlier it happens.
QCan we keep building with AI tools afterwards?
Yes, and most of our clients should. The point of production engineering is not that you slow down — it is that moving fast stops being risky, because tests and review catch what speed misses. Our retainer exists specifically for teams who want to keep working this way.
QDo we own everything at the end?
Entirely. Code, infrastructure and documentation, on standard stacks you can hire for anywhere. We do not build dependencies on ourselves, and we do not hold anything back as leverage.