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It is one of the most common questions in tech today. As AI tools become more capable, concerns about the future of soft...
25/08/2026

It is one of the most common questions in tech today.

As AI tools become more capable, concerns about the future of software development continue to grow. But is AI really replacing developers, or is it simply changing the way they work?

Our latest blog takes a realistic look at the relationship between developers and AI, without the hype.

Read the full article 👇 https://nephos.eu/2026/07/22/will-ai-replace-developers-future-of-coding/

19/08/2026

💡 “For the first time, developers are feeling disrupted.”
In this clip from the Digital Acumen podcast, Tomislav Tipurić reflects on how AI is shaking up the developer world and why this tech revolution feels different from anything before.

🎧 Listen or watch now on your favourite platform:
▶️ YouTube: https://www.youtube.com/watch?v=YnvlKWa7h0k
🎙️ Spotify: https://open.spotify.com/show/3sMLpp7UCQy9uJzFUmjMz5
🍏 Apple Podcasts: https://podcasts.apple.com/us/podcast/the-nephos-podcast/id1881567336

Writing code is no longer a task developers tackle alone. Large Language Models can suggest code, help identify bugs, ge...
11/08/2026

Writing code is no longer a task developers tackle alone.

Large Language Models can suggest code, help identify bugs, generate documentation, and accelerate development workflows. But where do they add real value, and where do human skills still matter most?

We explore how AI-powered coding assistants are reshaping software development and what that means for development teams.

Learn more 👇 https://nephos.eu/2026/07/15/llms-in-software-development-ai-code-generators/

05/08/2026

⚖️ “We’re regulating AI without testing it first.”

In this clip from the Digital Acumen podcast, Tomislav Tipurić challenges the current approach to AI regulation and explains why sandbox testing should come before legislation.

🎧 Listen or watch now on your favourite platform:
▶️ YouTube: https://www.youtube.com/watch?v=YnvlKWa7h0k
🎙️ Spotify: https://open.spotify.com/show/3sMLpp7UCQy9uJzFUmjMz5
🍏 Apple Podcasts: https://podcasts.apple.com/us/podcast/the-nephos-podcast/id1881567336


Machine learning is everywhere, but what actually happens behind the scenes? How do algorithms predict sales, detect fra...
28/07/2026

Machine learning is everywhere, but what actually happens behind the scenes?

How do algorithms predict sales, detect fraud, or group customers with similar behaviours?

The answer often comes down to three core techniques: regression, classification, and clustering.

In our latest blog, we break down these concepts in a practical, business focused way.

Read more 👇 https://nephos.eu/2026/07/14/regression-classification-clustering-machine-learning/

AI has huge potential. That part is clear. What’s less clear is how much of that potential is actually being used today....
17/07/2026

AI has huge potential.

That part is clear.

What’s less clear is how much of that potential is actually being used today.

From what we see, there is still a big gap.

Not because of a lack of tools.
But because of how those tools are applied.

Closing that gap is where the real opportunity is.

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One of the most underrated AI skills right now is… asking better questions. Because the output is only as good as the in...
15/07/2026

One of the most underrated AI skills right now is… asking better questions.

Because the output is only as good as the input.

And most people are still treating AI like a search engine.

Not like a system they can collaborate with.

That shift changes everything.

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AI is not just a tool. It’s becoming part of how people think about solving problems. But that comes with a learning cur...
13/07/2026

AI is not just a tool.

It’s becoming part of how people think about solving problems.

But that comes with a learning curve.

Knowing when to rely on it.
Knowing when not to.
Knowing how to guide it.

Those skills are still developing across most organisations.

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There’s a common pattern with AI adoption. First comes curiosity. Then comes overuse. And after that, if teams are lucky...
10/07/2026

There’s a common pattern with AI adoption.

First comes curiosity.
Then comes overuse.

And after that, if teams are lucky, optimisation.

Figuring out what actually works.
What is worth using?
And what is just noise?

Most teams are somewhere in that middle phase right now.

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A lot of teams are already using AI. But very few are using it consistently across real workflows. It often stays at the...
08/07/2026

A lot of teams are already using AI. But very few are using it consistently across real workflows.

It often stays at the level of individual experimentation.

A few prompts here. A quick shortcut there. Useful, but far from its full potential.

The real shift happens when usage becomes structured.

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