Code completion is an autocompletion feature in many integrated development environments (IDEs) that speeds up the process of coding applications by fixing common mistakes and suggesting lines of code. This usually happens through popups while typing, querying parameters of functions, and query hints related to syntax errors. Modern code completion software typically uses generative artificial intelligence systems to predict lines of code. Code completion and related tools serve as documentation and disambiguation for variable names, functions, and methods, using static analysis.[1][2]
The feature appears in many programming environments.[3][4] Implementations include IntelliSense in Visual Studio Code. The term was originally popularized as "picklist" and some implementations still refer to it as such.[5]
^Robbes, Romain; Lanza, Michele (2008). "How Program History Can Improve Code Completion". 2008 23rd IEEE/ACM International Conference on Automated Software Engineering. pp. 317–326. doi:10.1109/ASE.2008.42. ISBN 978-1-4244-2187-9. S2CID 2093640.
^"Code Completion, Episode 1: Scenarios and Requirements". The JetBrains Blog. 28 May 2021. Retrieved 17 November 2023.
^FAQ - CodeBlocks. Wiki.codeblocks.org (2014-02-01). Retrieved on 2014-04-04.
^Qt Documentation - Completing Code. Retrieved on 2015-07-07.
^Using Dynamic Apex to retrieve Picklist Values | Developer Force Blog. Blogs.developerforce.com (2008-12-09). Retrieved on 2014-04-04.
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