What is a software development technology stack?
A software development technology stack is the set of programming languages, frameworks, databases and cloud services that a piece of software is built and run on. It usually includes a front end (what users see and interact with), a back end (the logic and data behind it) and the infrastructure it runs on. Common examples are the Microsoft .NET stack, PHP with Laravel, Python with Django, and JavaScript stacks built on React and Node.js.
Choosing the right stack matters because it shapes how well your software performs, how much it costs to build and run, how easily it scales, and how simple it is to hire people to maintain it later. Avaib works across all the major stacks, so we can recommend the foundation that genuinely fits your project rather than the one we happen to specialise in.
Which technologies does Avaib build with?
We build across seven core families: Microsoft and .NET (C#, ASP.NET), PHP and Laravel, Python (Django, Flask, FastAPI), JavaScript (React, Angular, Vue, Node.js), mobile (Flutter, React Native, native Swift and Kotlin), cloud (AWS, Azure, Google Cloud) and AI, including machine learning and LLM integration.
Because we have senior specialists in each, your project is staffed by people who work in that technology every day, whatever the job calls for. Across more than 600 projects since 2004 we have built enterprise systems, web and mobile apps, data and AI products and cloud platforms on these foundations.
How do you choose the right technology for a project?
We start from what the software actually has to do, who will use it, what it needs to connect to, and how far it has to scale, then choose the stack that fits. We also weigh the systems you already run, your timeline and budget, and how easily you will be able to hire people to maintain it in future.
Because we are not tied to a single technology, we can recommend what genuinely fits rather than what we have to sell, and we explain the trade-offs in plain language so the decision makes sense to you.
Will you work with the technology stack we already use?
Yes. Where you already run a foundation, we build and integrate to fit it rather than forcing a disruptive switch. We staff senior specialists in your existing technology so your new software strengthens what you have and talks to it cleanly.
If your current stack is genuinely holding you back, we will tell you honestly and set out the options, but the default is to work with what you have wherever it makes sense.
Will we be locked into a technology or into Avaib?
No. We favour mainstream, well-supported technology with a large talent pool, so you can hire people to run and extend your software for years, not just launch it once. You own the code, the data and the documentation throughout.
That means you are never locked into a niche stack or into us. Our work is backed by a 30-day warranty and ongoing support if you want it, but the relationship continues because it keeps delivering value, not because you cannot leave.
How much does it cost to build software on a given stack?
It depends on the scope and the technology, since a focused tool is very different from a system that runs your whole operation. That is why we scope the work clearly up front and give you a fixed, plain-language quote before any development starts, so there are no open-ended surprises.
Our senior engineers work at a cost-effective rate of around USD 25 per hour, the same capability Australian, US, Canadian and Middle-East firms charge a fortune for, and AI-accelerated delivery helps get you there faster. After a short conversation we will send you a free, no-obligation written estimate with a clear scope.
Do you build mobile apps and AI features too, or just web software?
Both. Alongside web and enterprise software we build mobile apps, using Flutter or React Native for one codebase across iOS and Android, or native Swift and Kotlin where the app needs maximum platform performance.
We also build AI features, from machine learning to generative AI and LLM integration, onto whatever stack your software already runs, so the intelligence fits the product rather than sitting in a separate tool. One accountable team can span all of these on a single project.
