From AI PoC to a production-ready app
You built a working prototype with an AI assistant. It runs, it proves the idea — but can it face the real world? We audit authentication, infrastructure and data, then harden what needs it, turning your PoC into an app you can actually deploy.
Who is this for?
You are probably in the right place if one of these situations sounds familiar:
- You built a convincing prototype with an AI assistant (ChatGPT, Claude, Cursor, Lovable, v0…) and want to put it in the hands of real users.
- You asked the AI to "make the app secure" and accepted every change it proposed — with no way to judge what those changes were really worth.
- Your PoC handles personal data, payments or credentials, and you need to be sure they are protected before launch.
- An investor, a client or your management wants to move from demo to real product — and someone has to vouch for how robust it is.
- You are not a developer (or not a security specialist), and you want an independent opinion before exposing your app to the internet.
What we audit, concretely
- Authentication and session flows: sign-up, login, password reset, token expiry and revocation.
- Authorisation and access control: every user sees and changes only what they are allowed to (IDOR flaws, privilege escalation).
- Secrets management: API keys, passwords and tokens kept out of the source code and the repository, environment variables properly isolated.
- Input validation and attack surface: SQL injection, XSS, file uploads, endpoints exposed with no checks.
- Infrastructure and deployment: server configuration, HTTPS, firewall, backups, separation of staging and production.
- Data and compliance: encryption, data minimisation, logging, GDPR watch-points on personal data.
- Dependencies and generated code: outdated or vulnerable libraries, hallucinated dependencies, code copied without being understood.
We audit the stacks common to AI-generated PoCs: Python, Node.js, PHP, React/Next.js, SQL and NoSQL databases, cloud and container hosting.
Where we work
Three engagement modes depending on the project and your preferences:
- Remote. For most audits, code review and hardening. We regularly work with founders and startups across France and Europe with no travel.
- On site, across France and Europe. For scoping workshops, sensitive deployments, or whenever your team prefers to work in person.
- Locally, in the Auvergne-Rhône-Alpes region. Progely is based in the Auvergne-Rhône-Alpes region of France. Work in Lyon, Grenoble, Saint-Étienne, Clermont-Ferrand, Annecy and the surrounding area — same-day on-site presence available.
Why an AI-generated PoC is not yet an application
An AI assistant produces code that works in a demo. But "it works on my screen" and "it is ready to face thousands of users and attackers" are two very different things. Here is what most often hides beneath an attractive PoC.
The most common blind spots
- Security that is "declared" rather than real. Asking an LLM to "make the app secure" produces serious-looking code, but the assistant knows neither your threat model nor your sensitive data. With no one able to review it, the proposed fixes create a false sense of security.
- Exposed secrets. API keys in plain text, tokens committed to the Git repository, database credentials visible on the client side: these are the most common leaks in projects started in a hurry, and the easiest to exploit.
- Missing access controls. The PoC was tested with a single account. In production, nothing stops one user from reaching another user’s data by changing a single ID in the URL — the most widespread web application flaw.
- Demo-grade infrastructure. A database open to the internet, no backups, staging and production mixed together, no monitoring: infrastructure that is fine for a demo becomes a liability with the very first real user.
- Code no one understands. Accepting hundreds of generated lines without reviewing them creates instant debt: outdated or invented dependencies, subtle behaviours, and no one on the team able to fix a production incident.
Our position: an AI-generated PoC is an excellent starting point — it proves the idea and saves weeks. But before you expose it, it needs a human, independent, competent look at authentication, access, secrets and infrastructure. That is exactly what we bring: we do not judge how the code was written, we make it trustworthy.
How we work
We start with an audit that maps the real risks in your application and ranks them by priority, from blocking to cosmetic. You get a clear report, understandable even if you are not a developer, stating for each item the risk, its concrete impact and the recommended fix. We then harden what needs it — with you or on your behalf — and support you through to a deployment you can stand behind.
Frequently asked questions
Is AI-generated code secure?
Not by default. An AI assistant writes code that meets the functional request, but it knows neither your context, nor your sensitive data, nor the threats your application faces. It regularly produces classic flaws — exposed secrets, missing access controls, injections — all the more so when simply told to "make it secure" with no way to verify its answers. An independent human audit remains essential before any go-live.
I built my app with AI and I am not a developer. Can you help?
Yes — that is exactly who we work for. We audit your application, explain the risks in plain language, and fix what needs fixing. You do not need to understand the code: you need to know whether it is ready to be exposed, and what is left to do so that it is.
How long does auditing a PoC take?
Usually a few hours to a few days depending on the size and complexity of the application. The audit produces a prioritised list of risks and a clear estimate of the hardening work. You then decide what we fix, and in what order.
What technologies can you audit?
The stacks most common among AI-generated PoCs: Python, Node.js, PHP, React or Next.js applications, SQL and NoSQL databases, and common cloud and containerised hosting. If you are unsure about your stack, get in touch — we will tell you honestly.
Are you going to rewrite everything?
No. The goal is not to redo your work but to make it deployable. We keep your PoC and intervene precisely where it is needed — authentication, access, secrets, infrastructure. You keep the speed the AI gave you, without keeping the risks.
