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Imagine you’re coding a small robot to escape a maze. Either you make it explore every path until it finds the exit, or give it hints to guess which are the best ones. That little guessing power is what we call a heuristic, and it’s one of AI’s oldest tricks for making computers feel smart....

Revenue Operations (RevOps) is no longer just a buzzword—it’s becoming the backbone of modern SaaS and tech growth. By breaking down silos between sales, marketing, and customer success, RevOps creates one engine that drives predictable and scalable revenue. And here’s the kicker: by 2026, 75% of the fastest-growing companies will run on RevOps. That’s huge....

According to PwC, over 70% of executives believe AI will significantly reshape their business in the next three years. Yet only about one in five organizations has a comprehensive responsible-AI policy in place. That gap isn’t academic—it’s expensive. We’ve all seen the headlines: biased hiring models quietly sidelining women; underwriting algorithms triggering class-action lawsuits; deepfake...

The role of software engineers is evolving faster than ever. With AI becoming much more than just a tool I couldn’t help but wonder:How our day-to-day work as engineers will evolve, and more importantly, what skills we’ll need to stay not just relevant, but infinitely more productive by 2026?  According to Cip Huyen in The...

Not long ago, we took a deep dive into how vibe coding is shaping the future of business productivity. If you’re curious how leaders can get involved, check out our executive-focused article: How to Start with Vibe Coding. Now, I’ve put together a detailed guide for developers interested in this movement. But even if you...

I’m Damian Wasserman, co-founder at BEON.tech. I wrote this as part of my ongoing exploration into how AI is transforming software engineering. Through these posts, I aim to share practical takeaways to help our 150+ BEONers — and the broader developer community — stay at the forefront of this new era of AI-augmented engineering because...

Imagine this: it’s 2 a.m., you’re deep into some Udemy/Coursera/EdX/Master’s homework, and your coffee is running dangerously low. The assignment? “Implement breadth-first search.” At first glance, it looks innocent—almost trivial. But little do you know, you’ve just unlocked the door to one of the oldest and most fascinating adventures in AI: search algorithms. Welcome, my...

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...

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%...