Introduction

• Ruslan Mashinistov (Brookhaven National Laboratory (US))
• Nicole Skidmore (University of Warwick)
• Michel Jouvin (Université Paris-Saclay (FR))
• Claire Antel (CERN)

Room: 53/R-044

AI Assistants in Terminal

• Shuwei Ye (Brookhaven National Laboratory (US))

Room: 53/R-044 This talk introduces **'aider'**, a powerful AI coding assistant that operates directly in your terminal. I will cover its setup and usage with a live demo, including how to leverage local LLM models via **'ollama'**. Additionally, I will briefly introduce the **GitHub Copilot CLI** as another useful command-line AI tool.

AI-assisted code review

• Alexey Rybalchenko (GSI - Helmholtzzentrum fur Schwerionenforschung GmbH (DE))

Room: 53/R-044 This talk highlights our experience with AI-assisted code review tools. Two tools are presented: a commercial tool _CodeRabbit_ and a custom-made tool _Pearbot_. Additionally, we describe some of the details on how to make such tools more effective.