The 2025 DORA Report highlights the transformative impact of AI in software engineering. Organizations that effectively integrate AI are seeing significant improvements in productivity, delivery speed, and overall performance. However, the report emphasizes that the success of AI hinges on the foundational systems and workflows in place. Companies that merely adopt AI without first addressing their core processes risk exacerbating existing chaos rather than achieving meaningful enhancement. Chris Westerhold from Thoughtworks points out that engineers now need to focus on areas like prompt engineering and solution architecture, rather than just coding. The report outlines key insights, such as the idea that AI amplifies both strengths and weaknesses. Without a robust internal platform, AI can lead to instability, despite speeding up delivery. Successful integration requires a user-centric approach, ensuring that the systems surrounding AI are optimized to unlock its full potential. The findings stress that AI success is less about the tools themselves and more about the environment they operate in. This means prioritizing the rebuilding of core platforms and workflows. Thoughtworks advocates for a comprehensive redesign to enable teams to deliver sustained value through AI, rather than just temporary gains. This perspective shifts the focus from quick fixes to long-term effectiveness in software delivery.