Best practices for building API integrations with AI agents

The team at Nango has developed numerous API integrations using AI agents like Cursor and Claude Code, gaining insights into effective AI collaboration for integration development. AI excels in discovering and assembling API endpoints, generating boilerplate code, and performing straightforward data mapping, particularly with well-documented platforms. However, it struggles with less popular APIs, making subtle implementation errors, and handling complex authentication and infrastructure. Successful human-AI collaboration involves breaking down tasks, effective prompt engineering, iterative development, and using specialized tools and platforms like Nango for complex integration scenarios. By understanding AI's strengths and limitations and maintaining human oversight, teams can accelerate integration development while ensuring reliability and quality.