save images locally. This is good practise and in this case even necessary, because the original links contained build hashes, which already were out of date

Author: knarrff

_posts/2026-05-28-RSEng-GenAI-workshop.md

@@ -4,7 +4,7 @@ layout: post
 author: "Stephan Druskat, Michelle Barker, Ian Cosden, Cunliang Geng, Robert Haines, Daniel S. Katz, Joseph Shingleton, Ben van Werkhoven"
 menulang: en
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-![How various roles are evolving in response to GenAI.](https://www.researchsoft.org/blog/2026-05-28/Figure-3_hu_85bbb8d92c20e78f.webp){: width="450px" align="center"} 
+![How various roles are evolving in response to GenAI.](/assets/img/blog/2026/2026-05-28-ReSA-GenAI_Figure-1_hu.webp){: width="450px" align="center"} 
 
 This blog post is being cross-posted by the [Research Software Alliance](https://www.researchsoft.org/blog/) (ReSA), [Better Scientific Software](https://bssw.io/blog_posts) (BSSw), the [European Virtual Institute for Research Software Excellence](https://everse.software/news/) (EVERSE) and the [Software Sustainability Institute](https://www.software.ac.uk/news-and-blogs-hub) (SSI).
 
@@ -45,15 +45,15 @@ Overall, **the value of the RSE role shifts upward as AI enhances it and amplifi
 
 <br/><br/>
 
-![AI can enable RSEs to increase their capacity for both research and software engineering, irrespective of specializations.](https://www.researchsoft.org/blog/2026-05-28/Figure-2_hu_5ffec3d3ebe4e3ac.webp){: width="600px"}<br/><br/>**Figure 2:** *AI can enable RSEs to increase their capacity for both research and software engineering, irrespective of specializations.*
+![AI can enable RSEs to increase their capacity for both research and software engineering, irrespective of specializations.](/assets/img/blog/2026/2026-05-28-ReSA-GenAI_Figure-2_hu.webp){: width="600px"}<br/><br/>**Figure 2:** *AI can enable RSEs to increase their capacity for both research and software engineering, irrespective of specializations.*
 
 <br/><br/>
 
 Figure 3 highlights the unique position of RSEs in the research ecosystem. RSEs and other roles in the research sector (software engineers, researchers who code, and researchers) all evolve in response to leveraging GenAI tools, which affects all groups along the software engineering capacity axis to varying degrees. Researchers who have not previously done any programming can now generate their own code, but for all non-RSE roles these shifts largely reinforce strengths within their established areas of expertise. For RSEs, however, this evolution plays to their dual focus on both software engineering and research, so that the effective value of RSEs and their work is amplified, as GenAI enables them to provide (even) more and better software to support (even) more and better research.
 
 <br/><br/>
 
-![How various roles are evolving in response to GenAI.](https://www.researchsoft.org/blog/2026-05-28/Figure-3_hu_85bbb8d92c20e78f.webp){: width="600px"}<br/><br/>**Figure 3:** *How various roles are evolving in response to GenAI.* 
+![How various roles are evolving in response to GenAI.](/assets/img/blog/2026/2026-05-28-ReSA-GenAI_Figure-3_hu.webp){: width="600px"}<br/><br/>**Figure 3:** *How various roles are evolving in response to GenAI.* 
 
 ## Acknowledgements