The pressure to innovate, control costs, and scale engineering teams is greater than ever. And hiring, in particular, remains one of the biggest challenges. However, AI is moving from hype to becoming a core strategic asset in HR. Some surveys even suggest that by 2026, AI could manage entire recruitment pipelines—making it urgent for leaders...
Managing a global workforce has become increasingly complex for tech companies, with many US firms turning to remote teams and international talent pools. The rise of remote work and cross-border hiring means leaders must carefully choose the right employment model. In this guide, we compare the Employer of Record (EOR) model versus directly hiring contractors...
Latin America has rapidly emerged as a leading nearshore destination for software outsourcing. The region combines world-class technical talent and education with significantly lower costs than in the US or Europe. Choosing to hire software developers in Latin America allows businesses to tap into a thriving talent pool of skilled professionals, while also benefiting from...
Software organizations are under constant pressure to ship faster, innovate continuously, and keep top talent engaged. Yet, despite the billions poured into new tools and methodologies, productivity gains have plateaued. Developers spend more time battling slow build pipelines, redundant tasks, and siloed communication than writing the code that drives business value. The result? Burnout, rising...
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:...
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...
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...
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. ...
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...