Best AI Developer Tools & SDKs

Developer tools for AI agents fall into two categories: those that assist you during development (with IDE integration and code generation) and those that power your applications at runtime (with streaming, tool calling, and multi-model support). This category covers both, and the choice depends on what part of your stack needs AI assistance right now. For most teams building production agent applications, the answer is both—you use one to build the agent logic and another to surface it to users.

How to Choose

Use Cursor if: You want AI assistance deeply integrated into your entire coding workflow. It extends VS Code with agentic capabilities—planning multi-file refactors, writing entire features across multiple services, understanding your codebase context, and executing code generation autonomously. Choose Cursor if you spend most of your time in the editor and want the AI to reason about architectural decisions, not just complete individual lines. Best for teams building complex backend systems, microservices, or developers who value editor-first development.

Use Vercel AI SDK if: You're building JavaScript or TypeScript applications where AI is part of the user experience. You need production-grade streaming for real-time chat interfaces, reliable tool calling for agent-driven UIs, and flexibility to switch between LLM providers without rewriting your code. Choose this if your focus is on building interfaces that talk to AI services, not generating code itself. Best for teams building consumer-facing AI products, especially those already using React or Next.js.

The complementary relationship: Cursor generates code; Vercel AI SDK executes it in the browser. You don't choose between them—you often use both. Cursor helps you build the backend agent logic and APIs, while Vercel AI SDK builds the interface that calls those APIs.

Comparison