Project Snapshot
Collaborative Document Signing Platform
Turning AI-generated code into a production-ready solution.
Overview
Industry
Legal tech
Provided services
Security audit, DevOps services, Backend development
Type of the project
Web platform
Duration
Dec. 2025 - Feb. 2026
About the project
Our partner, a Scandinavian entrepreneur, wanted to simplify the multi-party document signing process and decided to build the solution himself. Using Lovable, a no-code and AI-powered platform, he put together a working prototype complete with user roles, billing, and document analysis, all without writing a single line of code.
Before launching to real users, the client approached us for a technical assessment. What began as a routine maintenance request quickly uncovered something more pressing: a product handling signed documents, user data, and live payments demands rigorous security measures.
We recommended starting with a full security and infrastructure audit, and that's where our partnership began.
Stack
- - Platform
- - Additional tools
- - DevOps
How we work
After the client shared technical access, code and documentation, we ran a detailed analysis. For this, we combined a manual review with an AI toolkit. The difference matters: AI is a tool. It still needs a developer who knows where to look and what to push back on.
The audit confirmed that quickly. We found critical security gaps: exposed API keys, unauthenticated webhooks, and a flaw in the Stripe integration that could lead to duplicate or fraudulent payments. These issues are typical of rapid AI-assisted development with no structured engineering review along the way.
For the fixes, we took an unconventional path. The product lived entirely inside Lovable, and the founder planned to keep it that way. Migrating to a traditional stack would have cleared the technical debt but left the client with a codebase he couldn't maintain himself. So we stayed on Lovable and added a second environment alongside it: one for staging, one for production. All fixes went in through Lovable's interface. Then we wired up a GitHub-based CI/CD flow between the two environments, so future changes could be reviewed before going live.
The setup was built around how the client actually works, not around what would be easiest for us to hand off.
Project outcomes
- A production-ready platform with critical security risks mitigated across authentication, data access, and payment handling.
- A stable CI/CD pipeline with staging and production environments that reduces deployment risks for future releases.
- A full vulnerability report with every identified risk, its potential business impact, and a clear remediation path.
Key features
Security audit of AI-generated frontend and backend code
Critical fixes applied through the Lovable interface
GitHub-based CI/CD pipeline with staging and production environment separation
Stripe webhook hardening and replay protection
Let talk
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