Software Engineering AI AI Coding

Endangered? Or Just Evolving? A Reality Check for Software Pros

Svetozar Eliseev

30 Jun 2025 — 1 min read

The rise of AI prompts a tough question: are traditional software engineers facing extinction?

At Gehtsoft, we see a different picture. Not extinction—redefinition.

AI is changing the shape of development, yes. But code is only one part of delivery. And real engineering—the kind that survives compliance audits, user chaos, and system stress—requires more than autocomplete.

What’s actually endangered?

Shallow generalism (the "I can code anything" model)
Bloated delivery cycles driven by outdated org structures
Vanity Agile that prizes rituals over results

What’s thriving?

Engineers who own outcomes, not tasks
Teams that treat delivery like a scientific process, not just implementation
People who understand system design, trust boundaries, and failure domains

“The real threat isn’t AI. It’s pretending software is solved when it isn’t.”

At Gehtsoft, we don’t fear AI—we pair with it. But delivery still comes down to clarity, discipline, and consequence awareness. And no LLM can do that—yet.

Read the full article: Are Software Professionals Endangered? – ZDNet

The Real Management Failure Is Not Lack of Frameworks. It Is Ideology Replacing Operational Judgment.

Over the last two decades, I have worked with organizations across very different environments: regulated finance, SaaS platforms, operationally constrained delivery, large engineering organizations, transformation programs, and Agile implementations at multiple scales. And one pattern appears repeatedly. Organizations stop managing operational reality and start managing management ideology. Sometimes the ideology

Risk Management under Real Velocity: Push Detection Downstream, Limit Blast Radius

I was recently quoted in a TechBullion article on balancing speed and security in business risk management. The core idea was simple: increasing business velocity does not remove the need for risk management. It changes its economics. This is not a technical nuance. It is a decision problem. At higher

AI and the missing first step in learning

What could be the long-term impact of AI on career progression in knowledge work? I saw a post recently asking whether AI will replace junior Scrum Masters. That question itself is not new. But it triggered a realization I had not connected this way before. And it is not very

Code Is No Longer the Bottleneck. Now What?

An advantage that everyone has is not an advantage. Agentic tools handle boilerplate, tests, and even non-trivial features. If your bottleneck was implementation speed, it's gone. Yet Amdahl's Law still applies: the speedup you get from accelerating one part is limited by the parts that don&

Read more

The Real Management Failure Is Not Lack of Frameworks. It Is Ideology Replacing Operational Judgment.

Risk Management under Real Velocity: Push Detection Downstream, Limit Blast Radius

AI and the missing first step in learning

Code Is No Longer the Bottleneck. Now What?

Cookie Settings