Alaa Reuschenbach

@alaaReuschenbach
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IT Consultant / Software Engineer at SWAGLab.

⚖️ Historisch: Internationaler Strafgerichtshof wechselt zu #OpenDesk!

1800 Arbeitsplätze werden von Microsoft zu deutscher Open-Source-Lösung migriert.

Grund: US-Sanktionen & Sperrung von Chefankläger Khans E-Mail-Zugang durch Microsoft.

"Wir müssen Abhängigkeiten reduzieren und technologische Autonomie stärken" - IStGH-Registrar Zavala Giler

Erste internationale Institution außerhalb DE mit OpenDesk!

https://netzpolitik.org/2025/sorge-vor-us-sanktionen-internationaler-strafgerichtshof-kickt-microsoft-aus-seiner-verwaltung/

#DigitaleSouveränität #FOSS #OpenSource

Sorge vor US-Sanktionen: Internationaler Strafgerichtshof kickt Microsoft aus seiner Verwaltung

Der Internationale Gerichtshof will sich von Microsoft unabhängig machen und schwenkt auf openDesk um, die Open-Source-Bürosoftware des Zentrums für Digitale Souveränität. Die Bundesregierung könnte sich daran ein Beispiel nehmen. Denn während openDesk bei europäischen Nachbarn gefragt ist, fremdelt die Bundesverwaltung noch immer damit.

netzpolitik.org
Are developers slower using AI?
Pro Tip: Read the discussion. p10f
Yes, slower for experienced developers and a well known code base. Greenfield or less experience are a different story. And things will probably improve.
https://arxiv.org/abs/2507.09089
Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity

Despite widespread adoption, the impact of AI tools on software development in the wild remains understudied. We conduct a randomized controlled trial (RCT) to understand how AI tools at the February-June 2025 frontier affect the productivity of experienced open-source developers. 16 developers with moderate AI experience complete 246 tasks in mature projects on which they have an average of 5 years of prior experience. Each task is randomly assigned to allow or disallow usage of early 2025 AI tools. When AI tools are allowed, developers primarily use Cursor Pro, a popular code editor, and Claude 3.5/3.7 Sonnet. Before starting tasks, developers forecast that allowing AI will reduce completion time by 24%. After completing the study, developers estimate that allowing AI reduced completion time by 20%. Surprisingly, we find that allowing AI actually increases completion time by 19%--AI tooling slowed developers down. This slowdown also contradicts predictions from experts in economics (39% shorter) and ML (38% shorter). To understand this result, we collect and evaluate evidence for 20 properties of our setting that a priori could contribute to the observed slowdown effect--for example, the size and quality standards of projects, or prior developer experience with AI tooling. Although the influence of experimental artifacts cannot be entirely ruled out, the robustness of the slowdown effect across our analyses suggests it is unlikely to primarily be a function of our experimental design.

arXiv.org