AI coding agents still write your SDK's old API — so I built a type-checker to measure it
📰 Dev.to · Kalpit Rathore
Learn to measure API compatibility issues with AI-coded SDKs using a custom type-checker
Action Steps
- Identify the API and SDK in question
- Build a custom type-checker to measure compatibility
- Run the type-checker against the AI-coded SDK
- Analyze the results to identify potential compatibility issues
- Refine the type-checker based on the analysis
Who Needs to Know This
Developers and DevOps teams can benefit from this approach to ensure seamless integration of AI-coded SDKs with existing APIs, reducing compatibility issues and improving overall system reliability
Key Insight
💡 AI coding agents may not always keep up with the latest API changes, a custom type-checker can help measure compatibility issues
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🚀 Improve API compatibility with AI-coded SDKs using a custom type-checker! 💻
Key Takeaways
Learn to measure API compatibility issues with AI-coded SDKs using a custom type-checker
Full Article
Here's a bug I kept hitting. I'd ask an AI assistant to write some code against a library — Prisma,...
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