You rarely choose the programming language behind your web application yourself: your software partner proposes one. Yet you carry the consequences, for years. That choice determines what maintenance costs, how easily you find developers, and whether you can ever switch partners without having the application rebuilt from scratch.
You can test that proposal without being technical yourself. What you need is a framework for judging it: knowing what the options are, and which questions deserve a convincing answer before you sign.
The field: a handful of mature languages
On the browser side, there is little to choose. JavaScript is the language browsers run natively, these days often written as TypeScript: a stricter variant that catches errors before the code runs. Frameworks such as React and Vue then determine how the interface is built.
On the server side, the choice is wider: PHP with frameworks such as Laravel and Symfony, Python with Django, C# on .NET, Java, or JavaScript through Node.js. All of these languages are mature; business-critical systems run on each of them every day. That is reassuring news: the language named in the proposal says little, the reasoning behind it says everything.
Developer availability determines your freedom
The most important test is not technical but economic. How many people will be able to maintain this system in five years’ time? For common languages such as PHP, Python, C# and TypeScript, that pool is large: developers are easy to find and another team can take over the work. If your partner proposes something exotic, or a closed low-code platform, that pool narrows to a handful of parties, in the worst case to exactly one: your current supplier.
Maintainability lies in the choices around the language
Outdated, unmaintainable code can arise in any language. Whether your application will still be easy to update in five years depends on what is arranged around the language: versions kept current, automated tests, documentation, and a framework backed by a broad community. These questions expose that:
- Who owns the source code, and is that set out in writing?
- Which language and framework versions does the application run on, and who keeps them up to date?
- How is it shown that a change does not break the rest?
- Can another team take this over without months of getting up to speed?
That first question especially is often skipped, even though it determines whether you still have a choice in three years’ time. We covered how to avoid getting locked into a supplier in an earlier article on vendor lock-in in custom software projects.
Python belongs on the table as soon as AI is part of your plans
One language deserves a separate mention. Almost the entire machine learning ecosystem rests on Python. If AI is on your roadmap, such as processing documents automatically or an assistant that works with your own data, a Python backend or a separate Python service alongside the existing application is a logical step. In AI implementation projects, we see that combination regularly: the web application in the language that suits the team best, the AI components in Python.
We develop web applications in several of these languages, and the strongest proposal rarely starts with the language. It starts with your challenge, your existing systems and the people who work with them. Still have doubts about a quote after asking these questions? For web applications and portals, we always explain our language choice in terms of what it delivers for you; you can expect that same explanation from any partner.