Welcome to BEON.tech's blog

The tech talent market is extremely tight. U.S. demand for developers is soaring: one forecast estimates 7.1 million tech jobs by 2034 (up from 6M in 2023), and 70% of tech workers report multiple job offers. Concurrently, skills like generative AI are in explosive demand (job postings up ~1,800%). As a result, companies struggle to...

In today’s high-stakes tech landscape, building and scaling development teams isn’t just about finding skilled engineers—it’s about doing it fast, cost-effectively, and without compromising collaboration or quality. For many U.S. companies, traditional outsourcing models fall short. Offshore teams often operate on delayed schedules, making agile iteration difficult. Onshore hiring, while closer to home, comes with...

Tech outsourcing is still booming. What started as a response to pandemic-driven uncertainty has become a long-term strategy. Projections show global IT outsourcing revenue will increase by 50% between 2024 and 2029, proving this model is anything but temporary. For companies in the U.S. and Canada, nearshore outsourcing is emerging as a long-term business enabler:...

You’ve got product-market fit. Users are growing, and so are feature requests. But your engineering team? Looks quite stretched thin. Truth be told, scaling a business means knowing how to scale engineering teams without compromising speed or code quality. Ultimately, simply throwing more bodies at the problem can backfire. In fact, a higher number of...

The rapid rise of AI applications — from customer service chatbots to sophisticated generative design tools — has placed data quality at the heart of AI development. While high-quality training data is essential for building reliable, high-performing models, not all data is created equal. Broadly, AI training datasets fall into two main categories: Each type...

Code-generating large language models (LLMs) are transforming software development. By automating repetitive coding tasks, assisting with debugging, and even generating functional code from simple prompts, these models allow development teams to work faster, more efficiently, and with greater focus on complex challenges. As businesses increasingly adopt AI-powered tools to streamline operations and reduce development cycles,...

Technical hiring has entered a new era. AI, remote work, and global competition have redefined what it takes to build high-performing engineering teams. To stay ahead, companies must rethink how they attract, evaluate, and support top tech talent. Here’s how to do it right. Key Takeaways The Evolving Technical Hiring Landscape Recruiting for technical roles...

There’s no secret: the tech hiring landscape is evolving fast. With digital transformation reshaping how products are built and teams are scaled, relying solely on traditional recruitment methods is no longer sustainable. Artificial Intelligence (AI) is stepping in—not just as a trend, but as a core engine powering the future of engineering talent acquisition. AI...

Artificial intelligence is no longer a future concept in software development—it’s a present day advantage. From streamlining tasks to accelerating development cycles, AI is becoming an essential ally in the engineering process. This shift has sparked an important question among tech leaders: Will AI replace software engineers? The short answer is no. While AI is...