Summary: The 2024 DORA Report shows that using AI tools can hurt software delivery performance, despite boosting individual productivity. It highlights the importance of documentation and user-centric internal platforms for improving performance. Overall, the report indicates that software delivery performance has weakened compared to last year, with changes in how different performance clusters are ranked.
DORA research shows that using AI tooling actually worsens software delivery performance (View Highlight)
While it is true that many respondents do not trust code generated by AI (39.2%), the reason behind the AI tooling and worsened software delivery performance correlation is not that; it’s because batch size seems to increase when AI is used in the coding process. (View Highlight)
We get time back because our meaningful work gets completed faster—not because we can get the robots to do the unsavory parts of our jobs. (View Highlight)
Platform engineering, and specifically the adoption of internal platforms, are correlated with a boost in both individual productivity and team performance. But, they can slow down throughput and cause additional instability. Still, organisations who use platforms are shown to deliver software to users faster overall, and have higher operational performance. (View Highlight)
Finally, transformational leadership is called out as a key factor for high performance. In short, leaders should have a clear vision and support their team members. (View Highlight)
that high performance is an horizon to chase, a never-ending story, not something that is ever finished (View Highlight)