The School of Electrical Engineering and Computer Science (SEECS) at the National University of Sciences and Technology (NUST) is organising a hands-on workshop titled “Agentic AI for Research Software: Briefing and Verifying LLM Coding Agents” as part of DFT²W 2026. The session is scheduled for November 18, 2026, from 2:00 pm to 4:30 pm, and it focuses on the practical use of Artificial Intelligence (AI) coding agents that are built on Large Language Models (LLMs) in the development of research software. The announcement places the workshop within the wider DFT²W 2026 programme and offers students, faculty members, and professionals a short, practical session on a subject that is drawing growing attention among researchers who write code as part of their work.
The registration fee has been set at PKR 2,000 for students and PKR 4,000 for faculty members and professionals. Interested participants can register through the online registration form shared by the organisers. For queries related to registration, participants can write to rai.sajjad@seecs.nust.edu.pk, while other queries about the workshop can be sent to farkhanda.afzal@seecs.edu.pk. The two-tier fee structure keeps the workshop more affordable for students, and the same form is used by all categories of participants, so those planning to attend should complete the registration before the session takes place on November 18.
The title of the workshop points to two parts of working with coding agents. Agents of this kind are AI tools that use large language models to write, edit, and run code with limited human supervision, and the quality of what they produce depends heavily on how clearly the task is described to them, which is the part covered by the word briefing. The second part, verifying, deals with checking the output, since code produced by an AI tool still needs to be reviewed and tested before anyone relies on it. Research software, which includes the source code, scripts, and computational workflows used in scientific work, is an area where such checks matter because the results of the code often feed directly into research findings.
Hands-on workshops of this type give participants a chance to try these tools themselves rather than only hearing about them in a lecture. For researchers who write their own code, coding agents can reduce the time spent on routine programming tasks, but they also raise questions about reliability and reproducibility that need careful handling. A session that places briefing and verification side by side reflects that balance between using new tools and keeping control over the quality of scientific software. With a 2.5-hour slot on November 18 and a modest fee for students, the workshop offers an accessible way for the NUST community and outside professionals to explore this area as part of DFT²W 2026.
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