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Category: AI

Code Is for Humans, Not Machines: Why AI Will Not Make Syntax Obsolete

Posted on January 23, 2026January 22, 2026 by ivan.turkovic

With AI, “everybody is a programmer.” You do not need to learn syntax anymore. Just describe what you want, and the machine will write the code for you. If you have spent any meaningful time in this profession, you are probably laughing right now. Or at least shaking your head. This narrative has become extraordinarily…

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The Eternal Promise: A History of Attempts to Eliminate Programmers

Posted on January 22, 2026January 22, 2026 by ivan.turkovic

When I look back at the history of software, one pattern emerges with remarkable consistency: the promise to simplify software creation, to make it cheaper, and ultimately to eliminate the need for programmers altogether. This is not a new idea. It has been the driving ambition of our industry since the 1960s. And while each…

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AI-Powered Fixed-Cost Development: A New Model for Agencies

Posted on January 21, 2026January 20, 2026 by ivan.turkovic

Software development has always carried an uncomfortable truth: nobody really knows how long it will take. Clients want certainty. They want a number, a deadline, a budget they can plan around. Agencies and independent consultants want to deliver that certainty, but they have learned through painful experience that software estimation is more art than science….

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The AI Orchestration Developer: Why Team Leaders Will Define the Next Era

Posted on January 19, 2026 by ivan.turkovic

There is a particular kind of developer who has spent years doing something that most of the industry undervalues: building people, not just systems. They review code not to gatekeep, but to teach. They pair with junior developers not because it’s efficient, but because they understand that growth compounds. They know that a team’s ceiling…

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Why Ruby Might Be the Most AI-Friendly Language Nobody’s Talking About

Posted on January 17, 2026 by ivan.turkovic

A few weeks ago, Martin Alderson published something that caught my attention: a systematic comparison of how token-efficient different programming languages are when fed to large language models. The findings were fascinating. And if you’ve been following my writing on Ruby, you won’t be surprised to hear that Ruby came out looking very good indeed….

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How AI Saved $2 Million in a Single Day; And It Wasn’t Vibe Coding

Posted on January 13, 2026January 13, 2026 by ivan.turkovic

I recently came across a story that perfectly encapsulates something I’ve been thinking about for months. It’s about a CPO who was handed an unlimited token budget and told to vibe code three MVPs for Q1 2026. They did something unexpected instead. Rather than firing up Lovable or Bolt to start generating code, they opened…

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What I Wrote About in 2025

Posted on December 29, 2025 by ivan.turkovic

Looking back at the year, my blog became a running commentary on how AI is fundamentally reshaping software development, and not always in the ways people expect. I’ve been splitting my attention between technical deep-dives and broader observations about where this whole industry is heading. Here’s what caught my attention month by month. March 2025:…

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A Christmas Eve Technology Outlook: Ruby on Rails and Web Development in 2026

Posted on December 24, 2025December 24, 2025 by ivan.turkovic

As we gather with loved ones this Christmas Eve, wrapping presents and reflecting on the year behind us, it’s the perfect moment to gaze into the technology crystal ball and envision what 2026 holds for web development and particularly for Ruby on Rails, the framework that’s been delighting developers for over two decades. While children…

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The Future of Language Frameworks in an AI-Driven Development Era

Posted on December 23, 2025December 23, 2025 by ivan.turkovic

As artificial intelligence increasingly writes the code that powers our digital world, we’re standing at a fascinating crossroads in software development history. The fundamental question looming over our industry is deceptively simple yet profoundly complex: if AI is writing our code, do we still need the elaborate conventions, configurations, and architectural patterns that have defined…

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The Hidden Economics of “Free” AI Tools: Why the SaaS Premium Still Matters

Posted on November 28, 2025November 30, 2025 by ivan.turkovic

This post discusses the hidden costs of DIY solutions in SaaS, emphasizing the benefits of established SaaS tools over “free” AI-driven alternatives. It highlights issues like time tax, knowledge debt, reliability, support challenges, security risks, and scaling problems. Ultimately, it advocates for a balanced approach that leverages AI to enhance, rather than replace, reliable SaaS infrastructure.

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Recent Posts

  • ADD: AI-Driven Development as a Methodology for the Future Engineer
  • The Future Engineer: What Software Development Looks Like When AI Handles the Code
  • Code Is for Humans, Not Machines: Why AI Will Not Make Syntax Obsolete
  • The Eternal Promise: A History of Attempts to Eliminate Programmers
  • AI-Powered Fixed-Cost Development: A New Model for Agencies

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