RoboCon2025

In this session, we will explore the next phase of integrating AI into test automation with the new RobotFramework-AI library. Following my talk at Robocon 2024, we’ll dive into how this library provides a direct, seamless connection between Robot Framework and AI models like OpenAI's GPT. We'll cover practical examples of generating realistic test data, creating adaptive tests, and automating complex decisions during test execution—bringing smarter, more flexible automation to your workflows.

Description:

The RobotFramework-AI library introduces a game-changing way to integrate AI directly into Robot Framework, making AI-driven test automation faster and easier for developers. This talk will show how the open-source library connects AI models like OpenAI’s GPT with your test scripts, opening up a new world of dynamic, adaptive testing.

We will begin with an overview of the library’s setup and use, followed by practical demos that showcase how AI can:
- Generate real-world test data dynamically
- Adapt tests in real-time based on live feedback
- Assist in decision-making during test execution

These capabilities can create intelligent, self-healing tests that reduce manual effort and increase test coverage.

Topics include:

• What’s new in the RobotFramework-AI library
• How to set up and use the library with real-world AI models
• Automating tasks like test data generation, chat-based interactions, and complex workflows
• Using AI for live interaction with tests to create intelligent, self-healing processes
• Addressing common challenges, including response times, costs, and unpredictable AI outputs

With RobotFramework-AI, you’ll have the tools to stay ahead in the evolving world of software testing and supercharge your testing strategies for 2025 and beyond.

Let’s bring AI-powered test automation to the next level, with smarter, faster, and more adaptable testing—perfect for tackling the demands of modern software development.