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A curious recipe of tech, combining deep understanding of digital realities, sprinkled with perspectives of humanity on top. Written by humans, assisted by AI. Read on!

At the forefront of time and technology

Kipinä
Insights

A curious recipe of tech, combining deep understanding of digital realities, sprinkled with perspectives of humanity on top. Written by humans, assisted by AI. Read on!

By topic:

Kipinä Breakfast Club Jan 29, 2026: hope for the future is driven by trust, humanity, and human-centric digital development

Kipinä Breakfast Club brought together 40 business leaders and digital decision-makers to discuss artificial intelligence, cybersecurity, and the future of digital development. The discussion highlighted five key themes: trust as a competitive advantage, the role of humans in the age of AI, psychological safety, resilience, and structures that enable new value—based on the Collective Vision 2026 mindset.

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Humans and Machines: Building Learning Cultures in the Age of AI

In the rapidly evolving landscape of technology, we are forced to ask ourselves a difficult question: In one word, what human skill is the most crucial in the age of AI?

As we’re heading into 2026, businesses must prepare for a future where humans and machines collaborate rather than compete. But with AI becoming exponentially better, why should humans keep learning at all?

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From a developer's perspective: A lightweight experiment reveals the hidden dangers of careless AI coding in software development

AI can write code in a matter of hours, but comprehension and security do not materialize just as quickly. This lightweight experiment revealed how AI-driven software development can introduce critical vulnerabilities if best practices are compromised – and why the human role in understanding the codebase remains indispensable.

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What is AI actually good for – and what is it not? An in-depth guide for technical decision-makers

Artificial intelligence has been utilized in digital solutions for a long time, but the current pace of advancement is exceptionally rapid. Kipinä's CTO Jari Huilla pauses to ask: What lies at the root of today's challenges regarding the limited context windows of large language models? Take a look under the hood at the mathematical boundary conditions of the transformer architecture and discover how to navigate these constraints now and in the future.

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From a developer's perspective: Psychological safety, ego, and the challenge of transparency in the era of AI

Empathy, ego, and artificial intelligence – what happens when humans dare to be incomplete in the presence of AI?
Agile Coach Arto Kellokoski explores the interplay between artificial intelligence and humanity in his blog. He writes about psychological safety, the impact of the ego on decision-making, and how AI can act as an emotional sounding board – supporting reflection and presence, not just efficiency.

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From a developer's perspective: High-quality data is always at the foundation of the best AI solution.

There is a lot of talk about AI solutions, but less about what they are actually built on. The answer is simple: data. And not just any data, but high-quality, reliable, and business-driven data.

Antti Rintala, a consultant at Kipinä, has outlined in his blog series the foundation required to leverage artificial intelligence. In this summary, we compile key perspectives that help build a solid foundation not only for AI solutions, but also for sustainable data-driven management.

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Case Otava: Full organizational commitment to accessibility

Otava places a strong emphasis on accessibility, viewing it as an integral part of application development on par with any other phase of the engineering process. Therefore, as a developer passionate about accessibility, it has been remarkable to participate in building Otava's new digital learning platform. Read our blog to learn more about how accessibility has been woven into the core of Otava's service development.

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From a developer's perspective: In the gauntlet of artificial intelligence and information security, human accountability is paramount.

Every developer recognizes the risks posed by time constraints, pressure, and high personal standards when relying on something—such as a third-party library, an out-of-the-box solution, or a colleague's recommendation—that they do not fully understand. Attending the annual AWS re:Invent technology conference in Las Vegas truly opened my eyes to my responsibility as a developer when utilizing AI-generated code.

“As developers and clients, do we sufficiently recognize the ongoing race between AI and cybersecurity in software development? Do we acknowledge the risks of tight schedules and ever-accelerating momentum?”

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