ArticleMay 2026EN

    The Deceptive Efficiency Trap — why developers using AI feel fast and why that feeling is a problem

    AI CodingDeveloper ProductivityAgentsAutomation

    Vinko Novak contrasts AI as search replacement with AI as delegation and argues that many teams confuse feeling faster with operating near the actual frontier of speed.

    This article draws a line between two modes of AI-assisted development: asking a model questions inside a chat window, versus designing agents that execute repeatable work end-to-end.

    Its central claim is that many developers overestimate their effectiveness because AI makes them feel faster than before, even though they are still far from the actual productivity frontier.

    The practical recommendation is to start with a small repeatable task, document it clearly and let an agent run it with minimal human orchestration.

    Related

    More from Scenaryo

    ArticleJune 2026

    Vibe Coding Is Cheap — But Only at First. The Economics of AI Development

    Vibe Coding is almost free to start — but the bill arrives later: token burn, maintenance tax, security cleanup. Beyond a crossover point, Agentic Engineering delivers 3–10× lower TCO per feature. The decisive lever is total cost of ownership, not startup cost.

    Open detail page
    PostMay 2026

    ~50 Slash-Commands for Claude Code — a practical overview

    A compact overview of around 50 slash-commands in Claude Code — what they do, when to use them, and how they accelerate the AI coding workflow.

    Open detail page
    PostMay 2026

    AI Transformation: Building Trust and Managing Change

    Why AI transformation is above all a trust and change-management challenge — and how organisations can put the human factor at the centre.

    Open detail page