<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>DORA Insights on</title><link>https://dora.dev/insights/</link><description>Recent content in DORA Insights on</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 02 Jun 2026 00:00:00 +0000</lastBuildDate><item><title>Finding balance in the era of tokenmaxxing</title><link>https://dora.dev/insights/finding-balance-in-the-era-of-tokenmaxxing/</link><pubDate>Tue, 02 Jun 2026 00:00:00 +0000</pubDate><guid>https://dora.dev/insights/finding-balance-in-the-era-of-tokenmaxxing/</guid><description>A new trend has emerged in software development: &amp;rsquo;tokenmaxxing&amp;rsquo;, where organizations track and reward raw AI token consumption via internal leaderboards to spur adoption. While this gamification can nudge AI-hesitant developers to experiment, treating token spend as a performance indicator is a dangerous trap.</description></item><item><title>Quick Check updates</title><link>https://dora.dev/insights/quickcheck-updates/</link><pubDate>Wed, 22 Apr 2026 00:00:00 +0000</pubDate><guid>https://dora.dev/insights/quickcheck-updates/</guid><description>The DORA Quick Check was recently updated to include deployment rework rate and the latest industry benchmarks. Measure your team’s software delivery performance and compare it to the rest of the industry by responding to multiple-choice questions.</description></item><item><title>Balancing AI tensions: Moving from AI adoption to effective SDLC use</title><link>https://dora.dev/insights/balancing-ai-tensions/</link><pubDate>Tue, 10 Mar 2026 00:00:00 +0000</pubDate><guid>https://dora.dev/insights/balancing-ai-tensions/</guid><description>While AI accelerates initial code generation and reduces start-up friction, it introduces hidden taxes like heavy verification overhead, skill degradation, and integration challenges. Leaders must adapt holistic metrics, review processes, and team training to ensure sustainable success.</description></item><item><title>Managing AI dependency</title><link>https://dora.dev/insights/managing-ai-dependency/</link><pubDate>Tue, 17 Feb 2026 00:00:00 +0000</pubDate><guid>https://dora.dev/insights/managing-ai-dependency/</guid><description>While AI makes challenging projects feel more accessible, it also sparks anxiety about becoming too dependent. Our research with UC Berkeley students found that students are establishing guardrails for themselves, treating AI as a support tool rather than a replacement for deep understanding.</description></item><item><title>DevOps Dozen Awards 2025</title><link>https://dora.dev/insights/devops-dozen-awards-2025/</link><pubDate>Thu, 15 Jan 2026 00:00:00 +0000</pubDate><guid>https://dora.dev/insights/devops-dozen-awards-2025/</guid><description>The DevOps Dozen Awards are an annual program organized by the Techstrong Group. They honor the most influential individuals, innovative tools, and impactful companies within the DevOps community. DORA and some of our sponsors were nominated as finalists for the awards.</description></item><item><title>DORA 2025: Year in review</title><link>https://dora.dev/insights/dora-2025-year-in-review/</link><pubDate>Wed, 07 Jan 2026 00:00:00 +0000</pubDate><guid>https://dora.dev/insights/dora-2025-year-in-review/</guid><description>A look back at the highlights and community contributions from 2025.</description></item><item><title>A history of DORA’s software delivery metrics</title><link>https://dora.dev/insights/dora-metrics-history/</link><pubDate>Fri, 02 Jan 2026 00:00:00 +0000</pubDate><guid>https://dora.dev/insights/dora-metrics-history/</guid><description>DORA&amp;rsquo;s software delivery performance metrics have evolved over time to reflect the changing technology landscape. Learn about the transition from the four keys to the current five-metric model.</description></item><item><title>AI as a tutor</title><link>https://dora.dev/insights/ai-as-a-tutor/</link><pubDate>Fri, 12 Dec 2025 00:00:00 +0000</pubDate><guid>https://dora.dev/insights/ai-as-a-tutor/</guid><description>While critics worry students use AI to cheat, our research reveals something different: students are using AI to learn. At UC Berkeley, many students in technical fields are using AI to teach them rather than do for them: AI was a supplement to the role of professor, TA, or tutor.</description></item><item><title>Understanding builder intent in the AI era</title><link>https://dora.dev/insights/builder-mindset/</link><pubDate>Fri, 17 Oct 2025 00:00:00 +0000</pubDate><guid>https://dora.dev/insights/builder-mindset/</guid><description>As AI decouples roles from tasks, traditional developer personas are becoming less relevant. This article introduces the &amp;ldquo;Builder Mindset&amp;rdquo; framework, identifying four core intents—Founder, Optimizer, Accelerator, and Learner—to help teams design better AI-assisted experiences.</description></item><item><title>How customization supports developer engagement</title><link>https://dora.dev/insights/customization-supports-developer-engagement/</link><pubDate>Tue, 23 Sep 2025 00:00:00 +0000</pubDate><guid>https://dora.dev/insights/customization-supports-developer-engagement/</guid><description>While AI coding assistants excel at mechanical tasks, research with UC Berkeley students reveals they can introduce friction and cognitive load during complex, interpretive work. By customizing AI tools to align with specific tasks and preferences, developers can reduce this friction and create a more efficient, satisfying development experience.</description></item></channel></rss>