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| Copilot | |
|---|---|
| Name | Copilot |
| Developer | Microsoft |
| Released | 2021 |
| Latest release version | (varies) |
| Programming language | C#, TypeScript |
| Operating system | Windows, macOS, Linux, iOS, Android |
| License | Proprietary |
Copilot is an AI-assisted code and content suggestion system developed by Microsoft that integrates large language models with developer tools and productivity suites. It connects models from OpenAI and internal Microsoft research with products such as Visual Studio, GitHub, and Microsoft 365, positioning itself at the intersection of enterprise services like Azure and consumer platforms like Windows 11 and GitHub. The system has influenced discussions in technology ecosystems involving companies such as OpenAI, Google, Amazon Web Services, and institutions like Stanford University, Massachusetts Institute of Technology, and University of California, Berkeley.
Copilot provides contextual suggestions for code, text, and workflows inside editors and applications, aiming to accelerate tasks for developers, authors, and knowledge workers. It operates in environments tied to products from Microsoft, GitHub, and cloud services such as Azure, and competes with offerings from Google and Amazon Web Services in markets examined by analysts at firms like Gartner and Forrester. The platform leverages models related to work from research labs such as OpenAI, DeepMind, and university groups at Carnegie Mellon University and University of Cambridge.
Development traces to partnerships and research collaborations involving Microsoft Research, OpenAI, and engineering teams across GitHub and Visual Studio. Early prototypes emerged alongside model releases from OpenAI and were influenced by publications from researchers at Stanford University, MIT, and UC Berkeley. Major milestones include product announcements tied to events like Microsoft Build, GitHub Universe, and partnerships announced at conferences such as AWS re:Invent and Google I/O. Legal, academic, and industry reactions involved entities such as Electronic Frontier Foundation, law firms litigating intellectual property matters, and policy bodies in jurisdictions like the European Union and the United States.
Key functions include inline code completion in editors such as Visual Studio Code and Visual Studio, natural-language to code translation inspired by research from OpenAI and other labs, and context-aware document assistance in suites like Microsoft 365 and applications used at organizations including Accenture and Deloitte. It supports multiple programming languages used in ecosystems around JavaScript, Python (programming language), C#, TypeScript, and Java (programming language), and integrates with version control workflows on GitHub and enterprise repositories hosted on Azure DevOps. Features reflect model capabilities discussed in academic venues such as NeurIPS, ICLR, and ACL.
Integrations span code editors, integrated development environments, and productivity applications: notable integrations include Visual Studio Code, Visual Studio, GitHub Copilot for Business deployments used by companies like Spotify and Stripe, and Microsoft 365 integrations used by enterprises such as Procter & Gamble and Unilever. The service is delivered via cloud infrastructure provided by Azure and connects to identity and access services like Microsoft Entra and authentication frameworks that interact with providers such as Okta and Ping Identity. Platform support extends to desktop Windows 11, macOS, development containers using Docker, and CI/CD pipelines managed with GitHub Actions and Azure Pipelines.
Discussions around data handling, training datasets, and model outputs have involved regulators and advocacy groups including the European Commission, Federal Trade Commission, and Electronic Frontier Foundation. Concerns include code provenance, potential exposure of sensitive snippets from repositories hosted on GitHub Enterprise Server, and compliance with frameworks such as General Data Protection Regulation and standards referenced by organizations like NIST. Security teams from corporations including Microsoft and Google have published guidance on threat models, while legal actions and academic audits from teams at Harvard University and Princeton University have examined copyright and attribution issues.
Reception spans positive productivity reports from developer communities around Stack Overflow, enterprise adoption stories from firms such as Salesforce and Goldman Sachs, and critical analysis from scholars at institutions like NYU School of Law and think tanks including Brookings Institution. The technology influenced market reactions tracked by financial analysts at Morgan Stanley and Goldman Sachs, and prompted competitive product launches from Google DeepMind and cloud providers such as Amazon Web Services. Public discourse has involved policymakers in bodies like the United States Congress and regulatory agencies in the European Union.
GitHub Copilot Labs OpenAI Microsoft Research Visual Studio Code Azure Machine Learning Large language model Artificial intelligence Neural network Machine learning Deep learning Natural language processing Generative AI Ethics of artificial intelligence General Data Protection Regulation Electronic Frontier Foundation NIST
Category:Artificial intelligence Category:Microsoft software