Visual Studio Code presents a session featuring Reynald Adolphe, Sam Basu, and Kristian Mariyanov, showcasing how Telerik & KendoUI AI Coding Assistants leverage context and GitHub Copilot Extensions to improve coding experiences in VS Code.

Telerik & KendoUI AI Coding Assistants: Contextual AI in VS Code

Presenters: Reynald Adolphe (@ReynaldAdolphe), Sam Basu (@samidip), Kristian Mariyanov (@kris_mariyanov)

Modern AI models and agents have made significant progress in code generation. However, developer productivity is further enhanced when AI experiences incorporate specialized context—such as up-to-date documentation, APIs, and a wealth of sample code. This session introduces the AI Coding Assistants from Telerik and KendoUI, which surface domain expertise through integration with GitHub Copilot Extensions and MCP Servers.

Key Topics Covered

  • Enhanced Code Generation: Leveraging the newest docs, APIs, and sample code allow AI to provide more accurate and relevant suggestions.
  • AI Coding Assistants for Developers: Telerik and KendoUI’s tools are designed to streamline the coding process, offering contextual expertise specific to the libraries and frameworks in use.
  • Integration Points:
    • GitHub Copilot Extensions: The assistants extend Copilot’s capabilities within Visual Studio Code.
    • MCP Servers & Development Tools: These backend services and utilities support the delivery of contextual insights.
  • VS Code Productivity: With these integrations, developers enjoy a more robust and context-aware experience in their code editor, minimizing context-switching and manual lookups.

Learn More

  • Reynald Adolphe (@ReynaldAdolphe)
  • Sam Basu (@samidip)
  • Kristian Mariyanov (@kris_mariyanov)

This video provides actionable insights for developers aiming to boost productivity using contextual AI tools and integrations designed for real-world development scenarios.