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Laag Overview and Application in Software Testing

Jul 12, 2024

Laag Overview and Application in Software Testing

Introduction

  • Presenter: Nikolai
  • Guests: Daniel and Paul from Laag
  • Location: Both guests joining from Paris

Laag Functionality and Workflow

  • Laag Process

    • Launch script with URL and feature file
    • Computer vision used to take screenshots
    • Generates instructions transpiled into Selenium code
    • Executes tasks like clicking buttons, verifying cart items, etc.
  • How Laag works

    • Start script with scenario and URL
    • Uses computer vision to reason about page content
    • Creates and runs Selenium code
    • Records all interactions and generates reusable Pytest BDD files
    • Allows regeneration of tests for interface changes

AI in Testing

  • Capabilities of AI in Testing

    • More resilient compared to traditional recorders
    • Generates detailed instructions and code
    • AI understanding helps in adapting to changes
  • Challenges and Limitations

    • Cost and execution speed
    • Current AI might not handle 100% of tasks
    • Use alongside QA experts for best results

Advantages of Laag

  • Customizable
  • Open-source
  • Community-driven: Contributions from various developers
  • Able to integrate with other tools and APIs

Practical Use Cases

  • Automating form fillings like job applications, e-commerce tests
  • Requires minimal lines of code
  • Can chain with other tools (e.g., vision models to parse resumes)
  • Handles various sizes and complexities

Community and Open Source

  • Community Contributions

    • Playwright support
    • Caching mechanisms
    • Local models integration
  • Future Directions

    • More robust handling of general internet tasks
    • Continuous improvement through community feedback

Challenges in Adoption

  • Incomplete support for complex web structures
  • Potential need for human inputs in specific cases (e.g., captchas)
  • Creating efficient interactions between human and AI for optimal results

Tips for Developers

  • Getting Started with Laag

    • Use documentation and examples on GitHub
    • Integrate Laag with personal or work projects
  • Common Use Cases

    • Automate repetitive tasks (e.g., booking travel, job applications)
    • Chain Laag with other APIs and tools for enhanced functionality

Potential Future Enhancements

  • Improved interaction for complex scenarios
  • AI learning user's preferences over time
  • Feedback loop involving user inputs for decision-making

Conclusion

  • Laag: A powerful tool for web automation and QA
  • Encouragement to use and provide feedback for continuous improvement
  • Contact: GitHub, Discord, Twitter (for community support and updates)

Additional Information

  • Laag’s detailed demos and webinars available on YouTube
  • Community-driven improvements and real-world applications
  • active support and collaboration in Discord channel