Blog - Software Development

Cross-platform development has matured fast, and with it, the stakes. Modern businesses expect their apps to deliver automation and AI-driven features without missing a beat, no matter which device the user is on. And the tools behind those apps matter more than ever.

Choosing the right front-end stack is not just a “developer preference” question. For many companies, it directly impacts how fast you launch new features, how high you rank in search, and how efficiently your teams can maintain complex digital products. A common decision is React vs. Next.js.

Modern hypercompetitive markets move at the speed of a click. To stay relevant, companies must validate ideas quickly. And releasing a product too late can mean missing the wave entirely. That’s why MVP development has become the basis of modern innovation: companies can prove their ideas, attract investors, and adapt to user feedback before competitors […]

Every digital initiative begins with ambition. But ambition alone can be expensive. Many companies today face a familiar dilemma: rising development costs, long time to market, and the ever-present risk of launching a full-scale product before knowing if customers actually want it.

Building a Minimum Viable Product (MVP) is a proven strategy for the validation of your startup idea. After the release of a lean version of your product, you can gather real user feedback and avoid excessive investments in the extra features that your users don’t need. 

In a world of cloud computing, Internet of Things, and mobile devices, software applications must handle huge volumes of concurrent users and data events. Slowing down is not acceptable. But traditional programming models seem to reach the limits of their capabilities. 

Artificial intelligence is transforming the way software is developed. 62% of developers worldwide already use AI tools in their workflow, up from 44% a year earlier, according to the latest annual survey by Stack Overflow. Our internal study at SaM Solutions in May 2025 showed an even higher share of Java engineers utilizing AI tools […]

Geopolitical events. Regulatory shifts. Cyberattacks. Supply chain instability. Today’s business leaders face risks from every angle. And when threats multiply, spreadsheets and fragmented processes aren’t enough. That’s where software for risk management makes a difference. It offers clear visibility across departments and helps decision-makers act before issues spiral. 

Artificial intelligence has already moved from pilots to broad enterprise adoption. In 2024, 78% of organizations used AI in at least one business area, up from 55% just a year earlier. According to Gartner’s 2024 CEO Survey, 87% of CEOs believe AI’s benefits outweigh its risks for business, and 59% say AI will have the […]