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When we published the open invitation that seeded this paper, we were careful to frame it as a set of questions rather than a thesis. Six long conversations later, I am more convinced than ever that this framing was the right one. What follows is not a verdict on AI-assisted software development. It is a snapshot of a profession reasoning its way through a structural change in real time.

If 2025 was the year organizations realized something was wrong, 2026 will be the year they are forced to fix it.
The conversation around AI is shifting decisively. Hype is giving way to scrutiny. Experimentation is giving way to expectations. And organizations are being challenged to prove — not promise — that their AI systems are safe, reliable, and worth the investment.

Across the market, ambition outpaced execution. AI initiatives multiplied, budgets were approved at a rapid pace, and expectations were sky-high. But by the end of the year, a more sober reality emerged: many AI projects failed to deliver meaningful business value, not because the models were weak, but because the foundations were.

As high-risk AI systems face increased regulatory scrutiny, the EU AI Act mandates the preparation of technical documentation (Article 11) prior to deployment. This documentation plays a central role in demonstrating that the system meets essential requirements

As high-risk AI systems face increased regulatory scrutiny, the EU AI Act mandates the preparation of technical documentation (Article 11) prior to deployment. This documentation plays a central role in demonstrating that the system meets essential requirements

As high-risk AI systems face increased regulatory scrutiny, the EU AI Act mandates the preparation of technical documentation (Article 11) prior to deployment. This documentation plays a central role in demonstrating that the system meets essential requirements

This free self-assessment tool helps you determine whether your AI application falls into a low, medium, or high-risk category — as defined by the EU AI Act — through a quick series of targeted, easy-to-answer questions.

In this episode of 2045.gr’s podcast hosted by Fanouris Drakakis , two seasoned experts—Yiannis Kanellopoulos, CEO & Founder of code4thought, and George Marinos, Digital Transformation Director at the National Bank of Greece—discuss the strategic value of software quality control in the digital age.

As AI technologies become more embedded in high-stakes domains like healthcare, finance, and HR, the conversation around quality and ethics is no longer a theoretical one. Yiannis shares real-world insights from his experience leading independent audits and testing of AI systems across sectors, highlighting what trustworthiness looks like in practice—and why it’s business-critical.

We’re thrilled to announce a strategic partnership between code4thought and the University of Patras, one of Greece’s leading academic institutions renowned for its cutting-edge research and innovation. Through a newly signed Memorandum of Understanding (MoU), this collaboration is set to bridge the gap between academia and industry, driving long-term value for both parties.