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      <title>Measuring AI Impact: The Motion vs. Progress Problem</title>
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      <pubDate>Thu, 09 Apr 2026 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;Developers using AI tools took 19% &lt;em&gt;longer&lt;/em&gt; to accomplish tasks than developers who didn&amp;rsquo;t, while believing they had increased their speed by 20–24%. That&amp;rsquo;s from METR (Model Evaluation &amp;amp; Threat Research). The gap between perception and instrumented reality is the core problem, not noise in the measurement.&lt;/p&gt;
&lt;p&gt;The DORA 2025 State of AI-Assisted Software Development report fills out the macro picture: 90% of developers are now using AI coding tools, individual task completion jumped 21%, and pull requests merged increased 98%. Organizational delivery metrics remained completely flat. Faros AI&amp;rsquo;s telemetry from over 10,000 developers adds the mechanism: as PR volume skyrocketed, code review time increased 91%, PR size grew 154%, and bug rates climbed 9%. Activity rose dramatically while outcomes didn&amp;rsquo;t move.&lt;/p&gt;</description>
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