Building a real-time AI autocomplete app with Next.js and Vercel AI SDK
Blog post from CircleCI
The tutorial outlines the process of building an AI-powered autocomplete feature using Next.js and the Vercel AI SDK with OpenAI's GPT model. It demonstrates how to integrate unit testing with Vitest and automate continuous integration using CircleCI. The tutorial guides users through setting up a Next.js project with TypeScript and Tailwind CSS, installing necessary dependencies, and configuring API routes to handle autocomplete requests. The implementation involves creating a client-side input component that interacts with a serverless API to fetch intelligent suggestions from OpenAI's models. The tutorial also covers setting up environment variables for secure API key management, writing unit tests to ensure functionality, and configuring CircleCI to automate testing on code changes. By the end, users will have a fully functional, reliably tested AI autocomplete application with a CI/CD pipeline, providing a solid foundation for developing real-time AI features.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Real-time | 6 | 3,344 | 937 | 222 | -51% |
| LLM | 5 | 3,765 | 540 | 172 | -11% |
| Serverless | 2 | 855 | 188 | 75 | -47% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.