Ukraine is a leading choice for IT outsourcing, thanks to its skilled talent and strong cultural alignment with Western clients. The country offers a deep pool of tech experts, a solid STEM (Science, Technology, Engineering, and Mathematics) foundation, and a thriving tech industry, making it a valuable option for businesses. When you work with Ukrainian firms, you get reliable software, smooth collaboration, and a shared drive for innovation.

Coding assistants are quickly becoming essential tools in the software development process. By 2028, it’s expected that 75% of enterprise software engineers will rely on AI-powered coding assistants, a huge jump from less than 10% in early 2023, according to Gartner. The reason for this sharp increase is clear — AI coding assistants can boost developer productivity by up to 45%. This helps streamline tasks like code generation, review, and documentation, compared to traditional methods.

Large Language Models (LLM) are changing the way developers and QA engineers solve problems. They allow for quicker code generation, debugging, and automated testing, reducing development time by up to 40%. This shift has prompted 67% of senior IT leaders to focus on generative AI, with 33% planning to make it a top priority within the next 18 months. However, while LLM models offer immense potential, understanding how to get the most out of them while maintaining quality is important.