by GitHub (Microsoft)
VS Code, Visual Studio, JetBrains IDEsGitHub integration for PR reviewsCommand line interfaceChat interface for code questions
Enterprise controls for code privacy. Option to exclude organization code from training. GitHub security infrastructure.
SOC 2, ISO 27001 certified. Code filtering for public matches. Vulnerability detection. Audit logs for enterprise.
Individual ($10/month), Business ($19/user/month), Enterprise (custom). Free for verified students and open-source maintainers.
GitHub Copilot is an AI pair programmer that suggests code completions, entire functions, and explanations directly in your IDE. It supports dozens of programming languages and learns from context in your codebase.
Copilot Individual is $10/month or $100/year. Copilot Business is $19/month per user with enterprise features. GitHub Enterprise Cloud customers get additional security and admin controls.
No. GitHub Copilot Business and Enterprise do not retain code snippets, share suggestions across organizations, or use your code for model training. Code remains private within your organization.
Copilot supports VS Code, Visual Studio, JetBrains IDEs (IntelliJ, PyCharm, etc.), Neovim, and Azure Data Studio. It works with most popular programming languages including Python, JavaScript, TypeScript, Ruby, and Go.
Yes. Copilot Chat can explain code, suggest security fixes, identify vulnerabilities, and help with pull request reviews. Copilot for Business integrates with GitHub Advanced Security for vulnerability detection.
GitHub Copilot processes code snippets through encrypted connections without storing your code. For organizations, Copilot for Business ensures prompts and suggestions aren't retained or used for model training. Telemetry data collection can be disabled via IDE settings. Deploy content exclusion policies to prevent specific file patterns from being analyzed by Copilot's AI models.
GitHub Copilot integrates with Visual Studio Code, Visual Studio, JetBrains IDEs, and Neovim through official extensions. Enterprise deployment uses organization-level licensing via GitHub Enterprise Cloud. Install extensions via marketplace repositories, authenticate using GitHub OAuth tokens, and manage seat assignments through admin console with SSO integration support.
Organizations can implement code scanning workflows using GitHub Advanced Security alongside Copilot. Configure pre-commit hooks and CI/CD pipeline checks to validate AI-generated code. Monitor suggestion acceptance rates through telemetry APIs. Integrate third-party SAST tools to scan Copilot outputs before merge, ensuring compliance with organizational security policies.
Explore articles and research about this platform
Article
AI courses for engineering and technical teams. Learn AI-assisted code review, automated testing, DevOps integration, technical documentation, and responsible AI development practices.
Article
A complete guide to Microsoft's AI certification portfolio, including Azure AI Engineer, AI-900 Fundamentals, and the new Microsoft 365 Copilot Specialist credentials.
Check back soon for relevant use cases.
Let's discuss how we can help you achieve your AI transformation goals.
Choose your engagement level based on your readiness and ambition
workshop • 1-2 days
Map Your AI Opportunity in 1-2 Days
A structured workshop to identify high-value AI use cases, assess readiness, and create a prioritized roadmap. Perfect for organizations exploring AI adoption. Outputs recommended path: Build Capability (Path A), Custom Solutions (Path B), or Funding First (Path C).
Learn more about Discovery Workshoprollout • 4-12 weeks
Build Internal AI Capability Through Cohort-Based Training
Structured training programs delivered to cohorts of 10-30 participants. Combines workshops, hands-on practice, and peer learning to build lasting capability. Best for middle market companies looking to build internal AI expertise.
Learn more about Training Cohortpilot • 30 days
Prove AI Value with a 30-Day Focused Pilot
Implement and test a specific AI use case in a controlled environment. Measure results, gather feedback, and decide on scaling with data, not guesswork. Optional validation step in Path A (Build Capability). Required proof-of-concept in Path B (Custom Solutions).
Learn more about 30-Day Pilot Programrollout • 3-6 months
Full-Scale AI Implementation with Ongoing Support
Deploy AI solutions across your organization with comprehensive change management, governance, and performance tracking. We implement alongside your team for sustained success. The natural next step after Training Cohort for middle market companies ready to scale.
Learn more about Implementation Engagementengineering • 3-9 months
Custom AI Solutions Built and Managed for You
We design, develop, and deploy bespoke AI solutions tailored to your unique requirements. Full ownership of code and infrastructure. Best for enterprises with complex needs requiring custom development. Pilot strongly recommended before committing to full build.
Learn more about Engineering: Custom Buildfunding • 2-4 weeks
Secure Government Subsidies and Funding for Your AI Projects
We help you navigate government training subsidies and funding programs (HRDF, SkillsFuture, Prakerja, CEF/ERB, TVET, etc.) to reduce net cost of AI implementations. After securing funding, we route you to Path A (Build Capability) or Path B (Custom Solutions).
Learn more about Funding Advisoryenablement • Ongoing (monthly)
Ongoing AI Strategy and Optimization Support
Monthly retainer for continuous AI advisory, troubleshooting, strategy refinement, and optimization as your AI maturity grows. All paths (A, B, C) lead here for ongoing support. The retention engine.
Learn more about Advisory Retainer