Embarking on a new product is a defining moment for any company. You’re about to build something big, but will the underlying tech stack you choose today sustain your vision years from now? Picking a tech stack isn’t just a developer’s decision; it’s a strategic business choice that shapes your product’s speed, scalability, and maintainability. ...
Your app was running just fine. Until one day, users started showing up, and with them, the bottlenecks. The endpoint that worked perfectly now takes 10 seconds. And there you are, digging through logs, wondering where everything went wrong. The good news? You’re not alone. Optimizing software isn’t magic, but it’s also not luck. It’s...
In today’s microservices architecture, you might have several services in one repository, you even may have a monorepo with all your applications in a single place! But what if only a single service changed? What if a subset of them changed? In this tutorial, we’ll set up a GitHub Action that: Let’s dive in step-by-step! ...
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,...
Frontend development has come a long way since the days of static HTML pages and simple styling. Today’s web interfaces are fast, interactive, and dynamic—closer to full-blown applications than websites. And over the past five years, we’ve seen another major shift in the evolution of frontend development: from monolithic frontend codebases to modular architectures, performance-optimized...
Frontend development has evolved into a high-stakes balancing act—where engineers juggle design fidelity, performance, accessibility, and fast-changing frameworks. At the same time, AI is no longer just enhancing developer productivity. It’s actively reshaping how interfaces are designed, built, and maintained. In practice, AI in frontend development means tools are emerging that go beyond simple code...
AI is no longer confined to labs or futuristic visions—it’s actively reshaping industries by streamlining operations and accelerating innovation. From automating time-consuming processes to enabling smarter, faster decision-making, AI business solutions are proving their value across sectors. That said, not every AI tool lives up to the promise. Many solutions sound great on paper but...
AI is revolutionizing industries across the globe, creating unprecedented demand for professionals who can bridge the gap between theoretical machine learning and practical software engineering. Finding skilled software engineers or AI specialists individually is challenging enough—finding someone with strong foundations in both fields is even more difficult. That’s why BEON.tech created a specialized six-month program...