Prompt Engineering for GitHub Copilot

• Titel: Prompt Engineering for GitHub Copilot
• Verlagsort: [Erscheinungsort nicht ermittelbar]
• Verlag: O'Reilly Media, Inc.
• Jahr: 2024
• Umfang: 1 online resource (1 video file)
• Fussnoten: Machine-generated record
• Datenträger: Online-Ressource
• Sprache: und
• Sach-SW: Génération automatique de texte
• Sach-SW: Intelligence artificielle ; Logiciels
• Sach-SW: Traitement automatique des langues naturelles
• K10plus-PPN: 1885004699
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4507196116
• Lokale URL Inst.: Zum Volltext

Abstract

The landscape of programming is evolving with the growing importance of AI-assisted tools, and GitHub Copilot is at the forefront of this change, with over 1.3 million paid users. This collection of videos offers a practical approach to learning this valuable application, delving into key areas such as prompt engineering, the intricacies of refactoring, understanding regular expressions (regex), and the fundamentals of unit testing. You'll also gain hands-on experience through practical demonstrations, including the creation of a weather app.