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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! ...

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...

Are you looking for the most promising countries to find top tech talent? If so, then you probably know Latin America is an attractive place to hire experienced, culture-fit candidates – and there’s one that stands out as a top performer. Yes, we’re talking about Brazil. As one of the fastest-growing economies worldwide, Brazil has...

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...

The frenetic pace of tech hiring in 2020–2021 is a distant memory. Back then, companies competed for engineers, often overlooking imperfect interviews just to secure talent. Today’s market is cooler. Massive layoffs and a hiring slowdown through 2022–2024 have given way to a cautious rebound. According to industry data, roughly 58% of tech companies now...