How VS Code Builds with AI

Visual Studio Code’s own team details how they use AI agents within their internal development workflow, sharing lessons learned and how direct feedback helps evolve VS Code’s features.

How VS Code Builds with AI

Overview

The Visual Studio Code team shares their experience integrating AI agents into their daily development workflow.

• AI in Development: Real-world examples of AI agents assisting in building and improving VS Code.
• Daily Integration: Methods for incorporating AI into engineering cycles.
• Lessons Learned: Challenges, growing pains, and the collaborative dynamic between engineers and AI agents.
• Impact of Feedback: How the team’s own usage and iterative feedback loop inform and inspire new features in the VS Code editor.
• Continuous Improvement: The role of telemetry and agent interaction metrics in product evolution.

Learn More

• VS Code documentation
• VS Code Insiders
• VS Code Live
• Blog post on AI usage
• Awesome Copilot resources

Key Points

• Integration of AI agents is central to VS Code’s internal development process.
• Experiences and feedback from the engineering team directly drive feature enhancements.
• The session offers practical, experience-based insight into working with AI within Microsoft’s own developer tooling.