AI for mass-scale code refactoring and analysis: how to make AI more efficient, cost-effective, and accurate at scale
As the software development landscape evolves, the challenge of managing and refactoring extensive code bases becomes increasingly complex. AI methods of code refactoring, while effective for smaller scales, can falter under the weight of mass-scale operations. The need for efficiency, accuracy, and...
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Main Authors: | , , |
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Format: | Electronic eBook |
Language: | English |
Published: |
Sebastopol, CA
O'Reilly Media, Inc.
2024
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Edition: | First edition. |
Subjects: | |
Links: | https://learning.oreilly.com/library/view/-/9781098175849/?ar |
Summary: | As the software development landscape evolves, the challenge of managing and refactoring extensive code bases becomes increasingly complex. AI methods of code refactoring, while effective for smaller scales, can falter under the weight of mass-scale operations. The need for efficiency, accuracy, and consistency is more critical than ever. This key report provides an in-depth exploration of how to optimize AI for these extensive tasks to minimize the need for "human in the loop." Discover how AI can transform the daunting job of mass-scale code refactoring into a streamlined, trustworthy process. |
Item Description: | Includes bibliographical references |
Physical Description: | 1 Online-Ressource (42 Seiten) illustrations |
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spelling | Gehring, Justine VerfasserIn aut AI for mass-scale code refactoring and analysis how to make AI more efficient, cost-effective, and accurate at scale Justine Gehring, Olga Kundzich, and Pat Johnson First edition. Sebastopol, CA O'Reilly Media, Inc. 2024 1 Online-Ressource (42 Seiten) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references As the software development landscape evolves, the challenge of managing and refactoring extensive code bases becomes increasingly complex. AI methods of code refactoring, while effective for smaller scales, can falter under the weight of mass-scale operations. The need for efficiency, accuracy, and consistency is more critical than ever. This key report provides an in-depth exploration of how to optimize AI for these extensive tasks to minimize the need for "human in the loop." Discover how AI can transform the daunting job of mass-scale code refactoring into a streamlined, trustworthy process. Software refactoring Artificial intelligence Machine learning Computer software Development Management Logiciels ; Refactorisation Intelligence artificielle Apprentissage automatique artificial intelligence Kundzich, Olga VerfasserIn aut Johnson, Pat VerfasserIn aut |
spellingShingle | Gehring, Justine Kundzich, Olga Johnson, Pat AI for mass-scale code refactoring and analysis how to make AI more efficient, cost-effective, and accurate at scale Software refactoring Artificial intelligence Machine learning Computer software Development Management Logiciels ; Refactorisation Intelligence artificielle Apprentissage automatique artificial intelligence |
title | AI for mass-scale code refactoring and analysis how to make AI more efficient, cost-effective, and accurate at scale |
title_auth | AI for mass-scale code refactoring and analysis how to make AI more efficient, cost-effective, and accurate at scale |
title_exact_search | AI for mass-scale code refactoring and analysis how to make AI more efficient, cost-effective, and accurate at scale |
title_full | AI for mass-scale code refactoring and analysis how to make AI more efficient, cost-effective, and accurate at scale Justine Gehring, Olga Kundzich, and Pat Johnson |
title_fullStr | AI for mass-scale code refactoring and analysis how to make AI more efficient, cost-effective, and accurate at scale Justine Gehring, Olga Kundzich, and Pat Johnson |
title_full_unstemmed | AI for mass-scale code refactoring and analysis how to make AI more efficient, cost-effective, and accurate at scale Justine Gehring, Olga Kundzich, and Pat Johnson |
title_short | AI for mass-scale code refactoring and analysis |
title_sort | ai for mass scale code refactoring and analysis how to make ai more efficient cost effective and accurate at scale |
title_sub | how to make AI more efficient, cost-effective, and accurate at scale |
topic | Software refactoring Artificial intelligence Machine learning Computer software Development Management Logiciels ; Refactorisation Intelligence artificielle Apprentissage automatique artificial intelligence |
topic_facet | Software refactoring Artificial intelligence Machine learning Computer software Development Management Logiciels ; Refactorisation Intelligence artificielle Apprentissage automatique artificial intelligence |
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