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Author: ivan.turkovic

Architect or Extinct: Why Software Developers Must Evolve Beyond Writing Code

Posted on February 12, 2026 by ivan.turkovic

A house architect does not lay bricks. They do not mix concrete, install plumbing, or wire electrical panels. They design the building. They decide how spaces connect, where light enters, how loads distribute, and how the structure will age over decades of use. The actual construction is performed by skilled tradespeople following the architect’s plans….

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Integrate: Completing the ADD Cycle for AI-Driven Development

Posted on February 11, 2026February 10, 2026 by ivan.turkovic

Code that passes evaluation is ready for integration. This is the final phase of the ADD cycle, where generated code becomes part of your system. But integration is more than merging a pull request. It is where AI-generated code meets the full reality of your codebase, your testing infrastructure, your deployment pipeline, and your team’s…

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Evaluation Checklists: Building Your Quality Gate for AI Code

Posted on February 10, 2026February 10, 2026 by ivan.turkovic

In the previous post, I covered the five dimensions of evaluating AI-generated code: correctness, fitness, security, performance, and maintainability. Understanding these dimensions is essential. But understanding is not enough. Under time pressure, even experienced developers skip evaluation steps. They focus on the dimensions they find most interesting or most familiar, and they neglect the others….

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You Don’t Want a Claude Code Guru

Posted on February 9, 2026February 9, 2026 by ivan.turkovic

The job posting practically writes itself these days. “Looking for a senior developer proficient with AI coding tools. Must be comfortable using Claude Code, Cursor, or Copilot to rapidly produce production-ready code. We need someone who can 10x our output.” I have seen variations of this everywhere over the past year. Companies scrambling to find…

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An Honest Take on Deploying Rails with Kamal: What Works and What Doesn’t

Posted on February 6, 2026February 6, 2026 by ivan.turkovic

Kamal has been positioned as the answer to a question Rails developers have asked for years: how do you deploy to your own servers without the overhead of Kubernetes or the cost of a managed platform? And in many ways, it delivers. But the gap between what Kamal promises and what it actually requires in…

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The New Bottleneck: Why Clarity Matters More Than Code

Posted on February 5, 2026 by ivan.turkovic

For two decades, the fastest engineers were the ones who could write code quickly. They knew the shortcuts, the patterns, the frameworks. Their fingers moved faster than their competitors. That era is ending. The new bottleneck isn’t your typing speed or your syntax recall. It’s your clarity. I’ve spent twenty years building software, leading teams,…

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Evaluate: Why Human Judgment Is Non-Negotiable

Posted on February 3, 2026February 2, 2026 by ivan.turkovic

We have arrived at the phase of ADD where the most important human skill comes into play. You have written a specification. You have generated code using appropriate context and patterns. Now you must determine whether that code is actually correct. This is not a formality. AI-generated code can be syntactically correct, pass basic tests,…

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Prompt Patterns Catalog, Part 2: Iteration, Verification, and Persona

Posted on February 2, 2026February 2, 2026 by ivan.turkovic

In the previous post, I introduced three foundational prompt patterns: Decomposition for breaking complex tasks into manageable units, Exemplar for teaching by example, and Constraint for defining boundaries. These patterns address the most common generation challenges. This post completes the catalog with three more patterns, then addresses the practical question of building and maintaining a…

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Prompt Patterns Catalog: Decomposition, Exemplar, Constraint

Posted on February 1, 2026February 2, 2026 by ivan.turkovic

Software developers are familiar with design patterns. The Gang of Four cataloged reusable solutions to recurring problems in object-oriented design. You learn patterns like Strategy, Observer, and Factory not because they are theoretically interesting but because they solve problems you encounter repeatedly. Once you know the pattern, you recognize the problem and reach for a…

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Generate: The Art of Effective AI Collaboration

Posted on January 31, 2026January 30, 2026 by ivan.turkovic

Generation is where the visible work happens. You provide input, and the AI produces code. This is the moment most developers think of when they imagine AI-assisted development. It is also where most developers start, jumping directly to generation without the specification work that should precede it. In the ADD cycle, generation is the second…

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  • Architect or Extinct: Why Software Developers Must Evolve Beyond Writing Code
  • Integrate: Completing the ADD Cycle for AI-Driven Development
  • Evaluation Checklists: Building Your Quality Gate for AI Code
  • You Don’t Want a Claude Code Guru
  • An Honest Take on Deploying Rails with Kamal: What Works and What Doesn’t

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