How to Deploy a FastAPI AI Microservice Free Using Cursor, Bolt, or Lovable

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Developers can run a FastAPI microservice at no cost using platforms like Cursor, Bolt, and Lovable, which bundle container hosting, a database, and authentication on their free tiers. Each platform supports Git-based deployments and can run a custom Dockerfile, making them viable options for AI app prototypes without renting a virtual machine. Free tier constraints vary by platform, with RAM limits ranging from 256 MB to 500 MB and request caps between 50,000 and 100,000 per month. A common pitfall is cold-start latency caused by loading large AI models at import time, which can trigger request timeouts on platforms that cap response time at 15 seconds. The recommended workaround is lazy model loading and keeping the Docker image lightweight, as demonstrated by a minimal FastAPI app calling Anthropic's Claude API that fits within free-tier resource limits.

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