Web and App Development Blog

Industrial control cabinet with electronic modules and organised wiring

08/09/2026 - Development

From AI pilot to production

An AI pilot also needs to handle incomplete documents, exceptions and errors. Prepare the process for everyday use, with people able to review and correct the results.

go to From AI pilot to production

Hand plane and cutting blades on a woodworking bench

08/09/2026 - Development

Off-the-shelf or custom software for your business

When a tool does not quite fit, decide whether to adapt it, connect it or build something new. Compare the options against your team's actual work.

31/03/2026 - Development

Deploy Django with Kamal on your own servers

Your Django application works locally, passes tests, and the team wants to deploy it to production. But between "it works on my machine" and "it runs stably on a server" lies a territory full of decisions that are rarely well explained. Kamal fits right into that in-between space: when manual scripts no longer scale, but Kubernetes is still more than you need.

13/03/2026 - Development

Production security for mid-sized teams: the foundation your project needs before going live

Production security isn't just a list of enabled tools. It's a set of safeguards your team can verify. If you can't explain who has access, what's exposed, and what happens when something goes wrong, your system isn't ready.

27/02/2026 - Development

Without monitoring, your app is running blindly in production.

Deployment is just the beginning. If your app isn't monitored, your users will discover every problem before you do. What you need isn't pretty dashboards or alerts for everything. You need to know what to watch, what to ignore, and when to take action.

tightrope walker crossing between two buildings

13/02/2026 - Development

Neither zero tests nor full coverage, just the right testing for your project

There are teams that don't test anything and pray before every deployment. And there are teams that aim for 100% coverage and don't deliver on time. Both have a testing problem. The question isn't whether to test, but how much, where, and why.