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AI is everywhere, and executives are under pressure to deliver real results with it. But building AI-powered products isn’t about hiring the trendiest new role or throwing people at the problem — it’s about assembling the right engineering team. In this post, we’ll walk you through the AI engineer tech stack that actually delivers value...

It’s no secret that AI tools are reshaping how developers work. From automating boilerplate code to boosting daily productivity, artificial intelligence has evolved from a sidekick to a co-pilot — and in many cases, the pilot itself. The adoption of these tools is rapidly becoming the norm, with usage rates ranging from 70% to 82%...

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,...

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...

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...

No matter where your company stands in its tech evolution, DevOps can transform how you operate. Having worked as a DevOps Engineer on various projects, I’ve seen firsthand the difference it makes. Without a dedicated DevOps presence, companies often struggle with slow deployments, inconsistent workflows, and inflated costs. The integration of DevOps can turn this...