Sprints/Goals/2024

Date

Saturday 2024-04-20 - Wednesday 2024-04-24

Arrival on Friday, 2024-04-19, departure as it fits you, it's ok if you can't attend the whole time, focus will be on the weekend, we will arrange the topics around who is there

Location

The Sprint will be hosted at MBition HQ: Dovestrasse 1, 10587 Berlin.

Welcome Dinner

There's a welcome dinner planned on Friday, April 19th 20:00 CEST. Exact details will be shared a bit closer to the event. Please mark in the table below if you plan to join.

Attendance

Please put your name below if you're coming along with arrival and leave dates.

If you need support for travel or accommodation, please get in contact with the KDE e.V. board. They can help :-)

Please join the dedicated matrix channel for the sprint for announcements, coordination and general discussion: https://matrix.to/#/#sprint2024:kde.org

Name	Arrival	Leaving	Needs accommodation	Friday Dinner?	Notes
Tobias Fella	04-19	04-24	no
Carl Schwan	already there	staying there	no (live in Berlin)
Méven Car	04-19	04-23	yes
Cornelius Schumacher	already there	already there	no		will be fully available on the weekend, and partly on Mon to Wed
Volker Krause	already there	staying there	no	yes
Nicolas Fella	04-19	04-23 or later	yes	yes
Nate Graham	04-19	04-23 (in the morning; not available for work that day)	Yes	Yes
Joseph De Veaugh-Geiss	already there	staying there	no		not available Saturday after 18h, limited availability on Sunday
Harald Sitter	04-19	04-24	maybe
Tracey Clark	04-19	04-23 (not available for work that day)	yes
James Graham	04-19	04-24	yes
Albert Astals Cid	04-19	04-24	no	yes
Nicole Teale	04-19	04-20	yes	yes
Ingo Klöcker	04-19	04-24	yes	yes

Agenda

We will create the agenda around what is relevant for the people who will be there. For a start here is a list of ideas for topics we might want to cover. Please add what is interesting for you and what you would like to work on.

Automation & Systematization

In the interest of not creating a multiple-sources-of-truth problem (A classic A&S no-no!) please see Goals/Automate and systematize internal processes#How_you_can_help

Sustainable Software

• KEcoLab
  • References:
    • Karanjot's GSoC project
    • Discussion about integration with Okular
    • SoK 2024
      • Improving KdeEcoTest's funcionalities and compatibility
      • Testing and development of KEcoLab
      • Selenium testing and user videos
      • Adding Windows support for KdeEcoTest
      • Sustainability 1: Testing and Developement of KEcoLab
  • Ideas:
    • Documentation of how to use KEcoLab remotely
    • Integrate more apps
    • Dashboard for showing energy-efficiency measurement results
• Blue Angel certification
  • References:
    • Announcement of Blue Angel Certification of Okular
    • Handbook
    • Repository for Blue Angel applications
  • Ideas:
    • Updating Okular measurements
    • Better presentation of measurement results, so that users can access and understand them
    • Discussion: Do we want to renew the certification when it expires in 2025?
    • Discussion: Do we want to get other applications certified?
• Extending hardware life by running KDE software on it
  • Ideas:
    • What other initiatives are out there? Where can we help with KDE software?
    • What are interesting hardware platforms to target?
• Create/improve specific usage scenarios and do corresponding energy efficiency measurements
  • Ideas:
    • Kate
    • KMail
• Review toolchain for doing measurments
  • Ideas:
    • Fully reproducable workflow where all data and processing scripts are available (e.g. like Jupyter Notebooks)
    • Replacement for OSCAR which is more easy to use and tweak for people not knowing R
• Additional sustainability labels, what else is there, what could be created
• Sustainable AI
  • Measure energy-efficiency of locally using AI (e.g. using https://ollama.com/ or https://localai.io/)
  • Look at KDE integrations of AI (https://apps.kde.org/alpaka/, digiKam, Krita, ...)
  • Ethical AI (see https://nextcloud.com/blog/nextcloud-ethical-ai-rating/, integrate with KDE as well? see also https://salsa.debian.org/deeplearning-team/ml-policy/-/blob/master/ML-Policy.rst and https://opensource.org/deepdive)
• Dolphin
  • set-up tests and ci with AT-SPY https://invent.kde.org/system/dolphin/-/merge_requests/492 to allow power-measurement
• your idea here ;-) ...