2025-10-01 –, WS5
Learn how to integrate AI capabilities into Robot Framework development using the robotframework-aiagent library. Discover how MCP (Model Context Protocol), AI tools, and structured data processing can enhance your testing workflows through natural language test execution, AI-assisted test case generation, and integration of image analysis, document processing, and OCR capabilities.
Additionally, explore how RobotCode extension AI features work together with VS Code and GitHub Copilot to create a comprehensive AI-enhanced development environment that improves both test creation and project man
Target Audience: Test Engineers with Robot Framework experience
Workshop Content:
- robotframework-aiagent library:
- Natural language test execution
- AI-assisted test generation
- Image analysis
- Document processing
- Text recognition and content analysis
- Structured data extraction
- AI provider integration: configuring OpenAI, Anthropic, Mistral, self-hosted cloud models, and local AI models
- Multi-model workflows: using specialized models for specific tasks and seamless conversation handoffs between different AI providers
- Developing custom AI tools for specific testing requirements
- MCP server integration for contextual AI assistance
- RobotCode extension AI features, GitHub Copilot optimization and VS Code workspace configuration for AI-enhanced Robot Framework development
- AI-assisted test case generation and execution
- Optimizing project management with AI tools
- Enhancing test creation and maintenance workflows
- Error detection and debugging with AI support
- Automated test case generation with AI
- Converting AI insights into improved automated test cases
Hands-On Labs:
- Setting up robotframework-aiagent with multiple AI providers and MCP server configuration
- Creating custom AI tools for specialized testing scenarios
- Building AI-enhanced test suites with image analysis and document processing
- Configuring RobotCode extension AI features and optimizing Copilot for Robot Framework
- Multi-model workflows: orchestrating different AI models for specific tasks
08:00
Categorize / Tags:Robot Framework, AI, MCP, GitHub Copilot, VS Code, RobotCode
Intended Audience Description:Test Engineers with Robot Framework experience
Developer, Opensource enthusiast, Pro in many languages and testing tools, Developer of RobotCode -Robot Framework support for VSCode