The difference between a prototype and a production system
A prototype proves that an idea works. A production system also has to work when twenty people use it at once, when someone leaves the company, when a server fails or when someone tries to access data that's none of their business.
In between are topics that are almost always missing from the first version:
- Login, user permissions and roles
- Data protection and GDPR-compliant data storage
- Backups and recovery
- Integrations with existing systems
- Security, updates and dependencies
- Performance with real data volumes
- Monitoring, logging and maintainability
Approach
- Inventory: what does the prototype do, who uses it, what data does it process?
- Assessment: can the code be developed further, or is a clean rebuild using the prototype as a blueprint faster?
- Hardening: put security, permissions, data storage, tests and deployment on solid ground.
- Operations: set up monitoring, backups and updates – and keep the original authors involved.
Staff should keep building
The goal is not to slow down initiative. Quite the opposite: with clear guardrails – such as a secured platform, templates and a defined path to production – business teams can keep experimenting without creating shadow IT.
Frequently asked questions
Does the prototype have to be rewritten from scratch?
Not necessarily. Sometimes the existing code can be hardened and developed further; sometimes a rebuild using the prototype as a blueprint is faster and safer. The inventory step answers that.
Which AI tools are supported?
Essentially all of them – whether the prototype was built with an AI coding assistant, a no-code builder or a chatbot matters little when turning it into a production system.
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Contact
Want to talk about a project? Philipp Kohnen is happy to hear from you.
Philipp Kohnen · Berlin, Germany
Email: mail@kohnen.digital
Phone: +49 160 90 22 88 20