News
Date of the First Supervisor MeetingWritten on 04.05.26 by Tobias Dick Dear students, We have updated the important dates on the kick-off slides. Your first group meeting with your supervisor is scheduled for May 21st, 12 pm. If this date does not suit you, get in contact with your supervisor after the groups are assigned, which will happen after the LSF… Read more Dear students, We have updated the important dates on the kick-off slides. Your first group meeting with your supervisor is scheduled for May 21st, 12 pm. If this date does not suit you, get in contact with your supervisor after the groups are assigned, which will happen after the LSF registration closes. We have also updated the first assignment requirements to 5 papers (3 for proseminar) to align with the kick-off slides. That said, we still encourage you to find more papers to gain a broader overview of the research field. Best regards, the seminar team |
Assignment 1Written on 30.04.26 (last change on 30.04.26) by Tobias Dick Dear students, the first assignment is now available in the materials section. To help you with your literature search, we uploaded an instructional video on how to finding academic sources. You can also find the corresponding slides in the materials section. As noted at the end of today's… Read more Dear students, the first assignment is now available in the materials section. To help you with your literature search, we uploaded an instructional video on how to finding academic sources. You can also find the corresponding slides in the materials section. As noted at the end of today's session, an unaccounted public holiday requires us to revise the suggested dates for the supervisor meetings and the accompanying deadlines outlined in the kick-off slides. Updated details will be communicated once we publish the group assignment. Best regards, the seminar team |
Missing log Files in the RepositoriesWritten on 23.04.26 by Tobias Dick Dear students,
We noticed that some Copilot logs were excluded from your last push because of a .gitignore rule. Please either add the .logs folder explicitly to your .gitignore (e.g. !.logs/) or remove the *.log line, then push the logs to the repository. We are sorry for the… Read more Dear students,
We noticed that some Copilot logs were excluded from your last push because of a .gitignore rule. Please either add the .logs folder explicitly to your .gitignore (e.g. !.logs/) or remove the *.log line, then push the logs to the repository. We are sorry for the inconvenience. Best regards,
the seminar team
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Preparation for the First Study SessionWritten on 22.04.26 by Tobias Dick Dear students,
Just a friendly reminder that our first study session is tomorrow, Thursday, from 12:15 to 14:00 in E1.1, room 2.06.
To make sure everything runs smoothly, be on time and please make sure to do the following steps before tomorrow's session:
Dear students,
Just a friendly reminder that our first study session is tomorrow, Thursday, from 12:15 to 14:00 in E1.1, room 2.06.
To make sure everything runs smoothly, be on time and please make sure to do the following steps before tomorrow's session:
One more thing: new GitHub Copilot student license registrations are temporarily disabled. If you haven't registered yet, you can use the free version for tomorrow, which is functionally equivalent, aside from being limited to smaller models.
See you tomorrow,
the seminar team
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AI Coding Assistants: Practices, Assumptions, and Implications
by Sven Apel, Tobias Dick, Kallistos Weis, Alisa Welter
Software development is inherently collaborative, relying on a range of practices and tools to support productivity, code quality, and knowledge sharing. In recent years, AI coding assistants such as GitHub Copilot have been integrated into everyday development workflows and are increasingly positioned as active collaborators rather than passive tools. Their growing use raises fundamental questions about how AI systems reshape development practices: To what extent do interactions with AI resemble collaboration with human peers? Where do they diverge, and how do they challenge established assumptions about learning, coordination, and the division of labor in software development?
In this seminar, students will engage in controlled, hands-on programming sessions under two conditions: pair programming with a human partner and pair programming with an AI assistant. Building on these experiences, students will work in small groups of two to three participants to develop research questions and analyze the data collected during the sessions. Each group will be supported by a dedicated advisor and receive regular feedback throughout the semester. The seminar concludes with a short written report and research presentations in which each group presents their results and reflects on their implications.
The first meeting will take place on Thursday, April 16, at 12:15 PM.
All sessions will take place on-site at the university, room 2.06 in E 1.1 on Thursdays 12:15 PM - 2:00 PM.
Participation in all sessions is mandatory.
Further information will be provided via e-mail after registration.
Registration
Registration for the seminar is mandatory. To distribute students among the available seminars offered by the computer science department, you have to select your preferences for the seminar on the central registration platform for seminars and will be automatically assigned to a seminar according to your preferences.
If you are assigned to this seminar, for organizational reasons, you have to sign up both in the course registration form that will be given above and in the LSF. Deadlines for the LSF (HISPOS) registration will be posted in the LSF (HISPOS) portal. Registration is possible up to three weeks after the topic assignment / kick-off.
Literature
Alisa Welter, Niklas Schneider, Tobias Dick, Kallistos Weis, Christof Tinnes, Marvin Wyrich, and Sven Apel. An Empirical Study of Knowledge Transfer in AI Pair Programming. In Proceedings of the International Conference on Automated Software Engineering (ASE), pages 166–177. IEEE, 2025.
Qianou Ma, Tongshuang Wu, and Kenneth Koedinger. Is AI the better programming partner? Human-Human Pair Programming vs. Human-AI pAIr Programming. 2023.
Wenhan Lyu, Yimeng Wang, Yifan Sun, and Yixuan Zhang. Will Your Next Pair Programming Partner Be Human? An Empirical Evaluation of Generative AI as a Collaborative Teammate in a Semester-Long Classroom Setting. In Proceedings of the Twelfth ACM Conference on Learning @ Scale (L@S '25). Association for Computing Machinery, 2025.