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%…
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…
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…
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 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…
The promise of agentive AI lies in its ability to reduce cognitive load, streamline workflows, and enable teams to focus on high-impact work. From writing code and triaging support tickets to analyzing employee engagement or personalizing customer outreach, AI agent tools are beginning to play a central role in the modern tech stack. But integrating…
Hire pre-vetted LATAM engineers who integrate seamlessly and deliver from day one.
Talk to an expertA monthly briefing by Damian Wasserman with clear analysis, practical frameworks, and market signals to help leaders scale engineering teams and make high-impact decisions.
Argentina 
Brazil 
Mexico 
Colombia