How AI tools doubled my delivery speed
How a client project became an open source PrestaShop KYC module, and how modern AI tools like OpenAI Codex, CodeRabbitAI, and MCPs helped me deliver faster and better.
Valentin Chmara
Executive summary
When a client requested a GDPR‑compliant KYC (Know Your Customer) module for a PrestaShop store, I proposed open sourcing the solution and leveraging modern AI development tools. That decision led to delivering double the functionality in the same timeframe, while producing cleaner, more secure code—ultimately benefiting both my client and the wider PrestaShop ecosystem.
Key outcomes:
- Open‑source production‑ready KYC module
- Doubled delivery speed using AI tools
- Cleaner, peer‑auditable code with community‑sourced quality improvements
From client need to community opportunity
Rather than delivering a proprietary module, I chose to open‑source the project—with this vision:
- Ensure transparency and stronger code quality
- Invite community feedback and contributions
- Create long‑term value for merchants and the PrestaShop ecosystem
Indeed, the module—now listed on Packagist—helps merchants implement photo ID and address verification workflows while respecting GDPR protocols.
Technical challenges
- Compliance: Securely process sensitive documents (IDs, proof of address) in alignment with GDPR and AML guidelines—critical for use cases like jewelry or crypto storefronts.
- Rapid yet maintainable development: Deliver core features quickly without introducing technical debt or compromising future extensibility.
Solution 1: Open Sourcing for quality and community insight
By opening the code early:
- I maintained stricter documentation and transparent architectural decisions.
- The codebase stays open to peer review, bug reporting, and feature suggestions—bolstering trust and maintainability.
- Fully tested with PHPUnit, ensuring reliability and security with a coverage of 97%.
Solution 2: Leveraging cutting‑edge AI tools
To meet tight deadlines without sacrificing quality, I integrated three modern AI tools:
| Tool | Role | Outcome |
|---|---|---|
| OpenAI Codex | Fix, feature minor issues | Reduced time spent on routine tasks and edge‑case handling |
| CodeRabbitAI | Automated instant feedback and code review | Improved code consistency and parameter validation |
| Github MCP | Get issues, files from Github directly on my IDE | Optimized productivity by accessing project resources without context switching |
This workflow achieved a 2× increase in delivery speed while maintaining high standards in code hygiene, documentation consistency, and security focus.
Results and reflective insights
- Client deliverable: A polished, secure, GDPR‑compliant module ready for production.
- Open source impact: Early adopters can contribute, improve and use the module, enhancing its quality and longevity.
- Process lesson: Open sourcing legitimated the approach—by publishing early, accountability rose and community interest strengthened maintenance momentum.
If you’re on the fence
Open sourcing client work may seem risky at first, but combined with AI‑accelerated development it becomes a powerful strategy. Transparency builds trust, AI builds efficiency—and together they create high‑quality, community‑driven software products.
Want to discuss open source or AI-powered development? Connect with me on X.