Best practices for building API integrations with AI agents

Nango's team has extensively utilized AI agents like Cursor and Claude Code to develop API integrations, gaining insights into their effective use and limitations. AI excels in endpoint discovery and boilerplate code generation, especially with well-documented APIs such as Salesforce, HubSpot, or Stripe, by efficiently identifying endpoints and creating foundational code structures. However, AI struggles with poorly documented APIs, subtle implementation errors, and complex authentication scenarios, necessitating human oversight and intervention. Effective human-AI collaboration involves breaking down complex tasks, using precise prompt engineering, and adopting an iterative development process, with tools like Nango's dryrun command facilitating testing and validation. The guide emphasizes leveraging AI for endpoint discovery and code generation while relying on human expertise for infrastructure and authentication complexities, advocating for a balanced approach to integration development.

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