9 posts tagged with "2025"

There was a time when I genuinely admired Atlassian products.

In the early 2010s, Jira felt like a breakthrough — not just another enterprise tool, but a lifeline.

I still remember rolling it out to one of our support teams that was struggling to keep up — overwhelmed by technical issues and constantly interrupted by requests for status updates. Jira didn’t just bring order — it gave them breathing room. A way to focus. A way to work without being chased for answers every five minutes.

What “Vibe Coding” Really Means — and Why It’s More Than Hype​

The term vibe coding started trending early 2025, thanks to Andrej Karpathy’s posts. The idea is simple (and radical): instead of typing code line by line, you describe what you want in natural language — and an AI writes the working code for you. You focus on intent, not syntax.

Critics point out that this flips the relationship between developer and code. In classic programming, you understand the code; in vibe coding, you trust the code. You become more like a conductor, less like a craftsman.

In practice, though, most people use vibe coding as an assistant — not full automation. You still read, tweak, and guide the AI. But the mindset shift is real.

Agentic automation has become the headline topic for digital transformation strategists in 2025. As businesses seek end-to-end autonomy for complex workflows, this new wave of automation, powered by advanced AI agents, is moving well beyond the traditional boundaries of RPA (robotic process automation) and low-code platforms.

In 2025, organizations striving for operational excellence have a new set of tools to turn mountains of data into actionable insights. Process mining—a method that digs deep into operational systems—shines a light on how work truly happens, exposing inefficiencies and bottlenecks that might go unnoticed. Coupled with predictive automation, which uses real-time analytics to forecast and preempt issues, organizations can transform processes from reactive to proactive.

From Code to Intentions​

Over the decades, programming has shifted from assembly to high-level languages, from scripts to frameworks, from IDEs to GitHub Copilot.
Today we are entering a new era: humans stop “writing code” and start “expressing intentions.”

Already, it is possible to describe a system in natural language and have an AI produce a working website or even a mobile app prototype.

While we sit mesmerized by shiny forecasts from Microsoft and Google, reality is already as clear as day. It's not reports that decide who AI will replace — it's cold, hard economics: cost vs. profit.

Just recently, Zuckerberg casually dropped $16 billion to buy Scale AI. Why? Because its founder, Alexandr Wang, is only 28 and has what robots won’t have for a long time — vision. And vision is worth billions. AI? It’s just a tool to save money.

From Resume Searcher to Strategic Ally​

Recruiting used to feel like a bit of a mystery — piles of resumes, endless phone calls, countless interviews, and still that nagging feeling you’re missing the perfect candidate. But over the last couple of years, artificial intelligence — yes, the very thing some love to blame for “taking over the world” — has quietly become my go-to assistant. Not just any assistant, but a true ally who works with people, not instead of them.

Introduction​

Artificial intelligence (AI) is no longer just a buzzword—it’s changing how we manage tasks, collaborate, and deliver results. If your teams use Atlassian tools like Jira and Confluence, you’ve likely noticed some new smart features popping up.

This article explains what’s happening, what it means for your business, and how leaders can take advantage of the changes.

We’ve all done it — copied text from a PDF or a document and pasted it into ChatGPT, hoping for a quick summary or insight. While it works for small tasks, it’s not practical when you have dozens or hundreds of documents.