3 6 Ke·2025-10-16 02:58Core Insights - The 2025 DORA report highlights the pervasive integration of AI into software development processes, marking a significant shift in how developers operate [1][3] - Despite the widespread use of AI, trust in its outputs remains low among developers, creating a "trust paradox" [4][8] AI Integration in Development - 90% of developers now use AI in their daily work, a 14% increase from the previous year, with a median usage of two hours per day [4][6] - AI is utilized across various tasks, including writing new code (71%), modifying existing code (66%), and documentation (64%) [4][6] Trust in AI Outputs - While 70% of developers express some level of confidence in AI outputs, only 24% report high trust, with just 4% indicating very high trust [6][8] - This discrepancy illustrates a psychological conflict where AI is a standard tool but not fully trusted [8] Impact on Team Dynamics - AI acts as a magnifier of existing team dynamics, enhancing productivity in healthy teams while exacerbating issues in dysfunctional ones [9][11] - The report indicates that while individual efficiency and code quality improve, software delivery stability may decline, leading to increased burnout and friction within teams [11] Team Profiles and Performance - The report categorizes teams into seven archetypes based on their performance and interaction with AI, revealing that effective teams leverage AI to enhance their strengths [13][16] - Conversely, teams burdened by legacy systems and rigid processes experience heightened instability and inefficiency when using AI [18][20] Key Capabilities for Success - The DORA AI Capabilities Model identifies seven critical capabilities that determine a team's ability to effectively utilize AI, including user-centric focus and strong version control practices [25][29] - Successful organizations prioritize cultural and procedural readiness over merely adopting AI tools, emphasizing the importance of a supportive environment for AI to thrive [33]