Stop Vibing, Start Eval-ing: EDD for AI-Native Engineers
📰 Dev.to · baltz
Learn how to apply Evaluation-Driven Development (EDD) for AI-native engineers to improve testing and validation
Action Steps
- Write a test for your AI model using EDD principles
- Run the test and evaluate the results
- Refine your model based on the test outcomes
- Repeat the process to ensure continuous improvement
- Apply EDD to your existing AI projects to enhance validation and testing
Who Needs to Know This
AI engineers and developers can benefit from EDD to ensure their models are reliable and accurate, and it's essential for teams working on AI projects to adopt this approach
Key Insight
💡 EDD is a crucial approach for AI engineers to ensure their models are thoroughly tested and validated
Share This
💡 Switch from TDD to EDD for AI-native engineering and improve your model's reliability
Key Takeaways
Learn how to apply Evaluation-Driven Development (EDD) for AI-native engineers to improve testing and validation
Full Article
When I was doing traditional development, I had TDD. I wrote a test, it passed or failed, done. But...
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