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For a B2B platform in iGaming, every scaling means new integrations: game providers, payment services, KYC, local regulatory requirements. In such a dynamic, the architecture quickly becomes overgrown with exceptions. «Without standardization, each new partner or jurisdiction requires separate custom solutions — in logic, integrations, reporting, access. Instead of a unified architecture, exceptions appear in the code and dependence on a specific market,» explains SharksCode CTO Igor Morgunov. The team faced a typical industry challenge: in the short term, customization speeds up launch, but in the long term, it makes the system fragile. A solution was needed that would discipline the architecture. GLI-19 certification was that solution.

Communication in Ukraine is noticeably becoming more expensive. And there are no surprises here. The wave of price increases swept through at the end of last year. And in the first months of 2026, all three mobile operators announced tariff increases.

On March 4, Iran used drones to strike an Amazon data center in Bahrain, citing its desire to “determine the role these centers play in supporting hostile military and intelligence operations.” The very next day, the United States and Israel retaliated by striking at least two data centers in Tehran, according to local NGO Holistic Resilience. Earlier, on March 1, the tech giant’s cloud unit, Amazon Web Services, was forced to report a temporary power outage at its Dubai data center due to hostile fire — and a resulting fire. In these few days, the world has finally realized what Ukraine has been saying for years - generally accepted security standards for data centers are hopelessly outdated.

Imagine the morning scene: you open your closet, look at dozens of things — and again catch yourself thinking that you have nothing to wear. Even though in reality your wardrobe is full. It’s just that most people wear the same combinations for years. Ukrainian developers decided to transfer this task to artificial intelligence. They created the smart.outfit.ai application — a «pocket stylist» that analyzes the items in your wardrobe, suggests new outfits, and helps you combine clothes right on your smartphone. dev.ua talked to the startup’s founder, Dmytro Balyuk, and analyst Kateryna Kravtsova about how their AI works, why hundreds of gigabytes of clothing images are needed to train models, how much the product development cost, and why the team does not plan to attract venture capital.