GitHub Copilot (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "GitHub Copilot" in English language version.

refsWebsite

Global rank English rank

4theverge.com

114^th place

90^th place

4github.blog

low place

4github.com

383^rd place

320^th place

3web.archive.org

1^st place

2doi.org

2^nd place

2semanticscholar.org

11^th place

8^th place

2analyticsindiamag.com

low place

7,637^th place

2sfconservancy.org

low place

1jetbrains.com

8,974^th place

7,712^th place

1techcrunch.com

187^th place

146^th place

1microsoft.com

153^rd place

151^st place

1vibecentral.ai

low place

1ieee.org

652^nd place

515^th place

1worldcat.org

5^th place

1infoworld.com

3,696^th place

2,428^th place

1infoq.com

6,158^th place

4,128^th place

1technologyreview.com

1,943^rd place

1,253^rd place

1arxiv.org

69^th place

59^th place

1x.com

low place

1githubcopilotlitigation.com

low place

1gnu.org

1,475^th place

1,188^th place

analyticsindiamag.com

"OpenAI Releases GPT-3, The Largest Model So Far". Analytics India Magazine. 3 June 2020. Retrieved 7 April 2022.
"GitHub Copilot: The Latest in the List of AI Generative Models Facing Copyright Allegations". Analytics India Magazine. 23 October 2022. Archived from the original on 22 March 2023. Retrieved 23 March 2023.

arxiv.org

Pearce, Hammond; Ahmad, Baleegh; Tan, Benjamin; Dolan-Gavitt, Brendan; Karri, Ramesh (16 December 2021). "Asleep at the Keyboard? Assessing the Security of GitHub Copilot's Code Contributions". arXiv:2108.09293 [cs.CR].

doi.org

Finnie-Ansley, James; Denny, Paul; Becker, Brett A.; Luxton-Reilly, Andrew; Prather, James (14 February 2022). "The Robots Are Coming: Exploring the Implications of OpenAI Codex on Introductory Programming". Australasian Computing Education Conference. ACE '22. New York, NY, USA: Association for Computing Machinery. pp. 10–19. doi:10.1145/3511861.3511863. ISBN 978-1-4503-9643-1. S2CID 246681316.
Sobania, Dominik; Schweim, Dirk; Rothlauf, Franz (2022). "A Comprehensive Survey on Program Synthesis with Evolutionary Algorithms". IEEE Transactions on Evolutionary Computation. 27: 82–97. doi:10.1109/TEVC.2022.3162324. ISSN 1941-0026. S2CID 247721793.

github.blog

"Introducing GitHub Copilot: your AI pair programmer". The GitHub Blog. 29 June 2021. Retrieved 7 April 2022.
"GitHub Copilot now available for Visual Studio 2022". The GitHub Blog. 29 March 2022. Retrieved 7 April 2022.
"GitHub Copilot is generally available to all developers". The GitHub Blog. 21 June 2022. Retrieved 21 June 2022.
"GitHub Copilot – November 30th Update · GitHub Changelog". 30 November 2023.

github.com

Copilot.vim, GitHub, 7 April 2022, retrieved 7 April 2022
"GitHub Copilot - Your AI pair programmer". GitHub. Retrieved 18 October 2022.
"CoPilot: Privacy & DataMining". GitHub. Retrieved 18 October 2022.

copilot.github.com

"GitHub Copilot · Your AI pair programmer". GitHub Copilot. Retrieved 7 April 2022.

githubcopilotlitigation.com

Butterick, Matthew (3 November 2022). "GitHub Copilot litigation" (PDF). githubcopilotlitigation.com. Joseph Saveri Law Firm. Archived from the original on 3 November 2022. Retrieved 12 February 2023. 22-cv-06823-JST

gnu.org

Stallman, Richard. "Who does that server really serve?". gnu.org. Retrieved 18 October 2022.

ieee.org

ieeexplore.ieee.org

Sobania, Dominik; Schweim, Dirk; Rothlauf, Franz (2022). "A Comprehensive Survey on Program Synthesis with Evolutionary Algorithms". IEEE Transactions on Evolutionary Computation. 27: 82–97. doi:10.1109/TEVC.2022.3162324. ISSN 1941-0026. S2CID 247721793.

infoq.com

"OpenAI Announces 12 Billion Parameter Code-Generation AI Codex". InfoQ. Retrieved 7 April 2022.

infoworld.com

Krill, Paul (12 August 2021). "OpenAI offers API for GitHub Copilot AI model". InfoWorld. Retrieved 7 April 2022.

jetbrains.com

plugins.jetbrains.com

"GitHub Copilot - IntelliJ IDEs Plugin | Marketplace". JetBrains Marketplace. Retrieved 7 April 2022.

microsoft.com

"Bing Code Search". Microsoft Research. 11 February 2014. Retrieved 5 September 2023.

semanticscholar.org

api.semanticscholar.org

Finnie-Ansley, James; Denny, Paul; Becker, Brett A.; Luxton-Reilly, Andrew; Prather, James (14 February 2022). "The Robots Are Coming: Exploring the Implications of OpenAI Codex on Introductory Programming". Australasian Computing Education Conference. ACE '22. New York, NY, USA: Association for Computing Machinery. pp. 10–19. doi:10.1145/3511861.3511863. ISBN 978-1-4503-9643-1. S2CID 246681316.
Sobania, Dominik; Schweim, Dirk; Rothlauf, Franz (2022). "A Comprehensive Survey on Program Synthesis with Evolutionary Algorithms". IEEE Transactions on Evolutionary Computation. 27: 82–97. doi:10.1109/TEVC.2022.3162324. ISSN 1941-0026. S2CID 247721793.

sfconservancy.org

"Give Up GitHub: The Time Has Come!". Software Freedom Conservancy. Retrieved 8 September 2022.
"If Software is My Copilot, Who Programmed My Software?". Software Freedom Conservancy. Retrieved 8 September 2022.

techcrunch.com

Lardinois, Frederic (17 February 2014). "Microsoft Launches Smart Visual Studio Add-On For Code Snippet Search". TechCrunch. Retrieved 5 September 2023.

technologyreview.com

"OpenAI is giving Microsoft exclusive access to its GPT-3 language model". MIT Technology Review. Retrieved 7 April 2022.

theverge.com

Gershgorn, Dave (29 June 2021). "GitHub and OpenAI launch a new AI tool that generates its own code". The Verge. Retrieved 6 July 2021.
Warren, Tom (29 October 2024). "GitHub Copilot will support models from Anthropic, Google, and OpenAI". The Verge. Retrieved 28 January 2025.
"GitHub's automatic coding tool rests on untested legal ground". The Verge. 7 July 2021. Retrieved 11 July 2021.
Vincent, James (8 November 2022). "The lawsuit that could rewrite the rules of AI copyright". The Verge. Retrieved 7 December 2022.

vibecentral.ai

VibeCentral (21 May 2025). "Navigating the AI Coding Landscape: A Comparative Analysis of GitHub Copilot's LLMs for Optimal Developer Productivity". VibeCentral. Retrieved 23 May 2025.

web.archive.org

Nat Friedman [@natfriedman] (29 June 2021). "In general: (1) training ML systems on public data is fair use" (Tweet). Archived from the original on 30 June 2021. Retrieved 23 February 2023 – via Twitter.
Butterick, Matthew (3 November 2022). "GitHub Copilot litigation" (PDF). githubcopilotlitigation.com. Joseph Saveri Law Firm. Archived from the original on 3 November 2022. Retrieved 12 February 2023. 22-cv-06823-JST
"GitHub Copilot: The Latest in the List of AI Generative Models Facing Copyright Allegations". Analytics India Magazine. 23 October 2022. Archived from the original on 22 March 2023. Retrieved 23 March 2023.

worldcat.org

search.worldcat.org

Sobania, Dominik; Schweim, Dirk; Rothlauf, Franz (2022). "A Comprehensive Survey on Program Synthesis with Evolutionary Algorithms". IEEE Transactions on Evolutionary Computation. 27: 82–97. doi:10.1109/TEVC.2022.3162324. ISSN 1941-0026. S2CID 247721793.

x.com

Nat Friedman [@natfriedman] (29 June 2021). "In general: (1) training ML systems on public data is fair use" (Tweet). Archived from the original on 30 June 2021. Retrieved 23 February 2023 – via Twitter.