Which technologies to choose for a new project

Technology selection does not begin with a programming language. First, determine who will use the product, on which devices, whether search traffic is required, which integrations will be needed, and how critical performance, security, and offline operation are. Only then should the technology stack be formed.

Next.js is well suited to corporate websites, services, client portals, marketplaces, and other web products that need fast pages, search optimisation, and an interactive interface. It combines a React interface with server capabilities, but it does not remove the need to design the database, authentication, background processes, and infrastructure separately.

TypeScript is not an alternative to Next.js, but a language commonly used with it and other JavaScript frameworks. Typing helps detect errors earlier and makes a large project easier for the team to understand. Plain JavaScript may be suitable for a small demonstration, but TypeScript is usually the more reliable choice for a product that will evolve for years.

Python is particularly strong when the backend involves AI, data processing, automation, analytics, or rapid API development. FastAPI suits modern API services, while Django works well for systems that benefit from a ready-made administration layer and a mature server structure. The user-facing web interface is usually still built with JavaScript or TypeScript, so Python and Next.js can work together in one project rather than compete.

If a product must launch on iOS and Android at the same time, Flutter makes it possible to build both applications from a shared codebase. This can significantly accelerate launch and reduce maintenance costs. If the application uses platform-specific capabilities deeply, requires maximum native behaviour, or must receive new platform features first, Swift for Apple and Kotlin for Android are worth considering.

React Native is also suitable for cross-platform mobile development, especially when the team already knows React and TypeScript well. The choice between Flutter and React Native depends not only on performance, but also on team expertise, required libraries, interface design, and the extent of native integrations.

Large enterprise systems often use Java with Spring or C# with .NET. These ecosystems work well for complex business logic, integration with existing infrastructure, and long-term maintenance by large teams. Go can be a good choice for compact server services, networking tasks, and high-load components, but it does not need to be used for every ordinary business application.

A database should be selected according to the data model rather than popularity. PostgreSQL remains a sensible starting point for most CRM systems, marketplaces, client portals, and financial platforms. Redis is useful for caching, queues, and temporary data, while specialised stores should be introduced only when the primary database genuinely cannot solve the task.

A new project rarely needs microservices from the first day. A well-organised modular monolith is usually more practical for the first version: it is faster to develop, easier to test, and less expensive to maintain. The system should be divided into separate services when independent teams, different scaling requirements, or genuine limitations in the existing architecture appear.

Technical capabilities are not the only consideration. The availability of specialists, documentation quality, community activity, frequency of security updates, infrastructure costs, and dependence on a particular vendor must also be evaluated. A rare technology may look elegant but create a serious problem when the team needs to grow or the product must be supported for several years.

A good stack is neither the most fashionable nor the most complex. It is the smallest set of proven technologies that allows the product to launch on time, serve users securely, and evolve without a complete rewrite after the first business changes.