IAGen, work and software development:
a broken illusion

I recommend this article because it adds technical clarity to a noisy debate. Discussions about generative AI often swing between blind optimism and panic. This piece is a concrete, balanced read for people making real software decisions.

For SMEs, the key question is not "AI yes" or "AI no". The key question is where AI truly accelerates delivery and where it can create hidden risks: technical debt, quality regressions and loss of architectural control.

Why this is worth reading

• It pushes back on simplistic promises of fully automated software delivery.
• It distinguishes speed from engineering quality.
• It reinforces the role of human technical accountability.
• It helps founders and managers ask better questions to vendors.

How this connects to my approach

This is exactly why I work with radical transparency: I use AI daily, but with continuous technical validation and direct accountability for outcomes. Speed matters, but speed without control is not a strategy.