Visual Studio Code, featuring Reynald Adolphe and Viktor Gamov, demonstrates an AI-assisted developer workflow for Kafka using the Confluent VS Code Extension, GitHub Copilot, and Model Context Protocol.

AI-Powered Kafka Development: Confluent Extension + GitHub Copilot + MCP

Presenters: Reynald Adolphe (@ReynaldAdolphe), Viktor Gamov (@gamussa)

Apache Kafka is central to many modern data streaming applications, but its complexity can be a barrier to new and experienced developers alike. In this session, you’ll learn how to leverage AI-powered tools within Visual Studio Code to simplify Kafka development.

Key Topics

Challenges in Kafka Development:
- Navigating distributed systems concepts
- Code bootstrapping
- Managing schemas and validating schema evolution
- Debugging Kafka message flows
Toolchain Overview:
- Confluent VS Code Extension: Adds Kafka-awareness directly into the IDE for seamless schema and topic metadata access.
- GitHub Copilot: Acts as an AI assistant offering code suggestions and guidance tailored to the Kafka context, boosting developer productivity.
- Model Context Protocol (MCP): Bridges the gap between AI assistants and platform context, enabling schema registry visibility and smarter code generation.

Live Demonstration

Setting up the environment in Visual Studio Code
Using the Confluent Extension for direct Kafka integration
Generating Kafka-related code with GitHub Copilot
Supplying context to Copilot via MCP for accurate schema and topic management
Intelligent schema validation and interactive troubleshooting

Outcomes

Minimize the Kafka learning curve through AI-assisted tooling
Achieve interactive development with less reliance on external documentation
Accelerate workflow with code generation tailored to real Kafka configurations

Relevant hashtags: #vscode #visualstudiocode #confluent #kafka

For more content like this, follow Visual Studio Code and presenters Reynald Adolphe and Viktor Gamov for practical AI-powered development tips.