Developer Publishes Step-by-Step Guide to Building a Modular AI Backend with FastAPI

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A developer has published a tutorial on DEV Community outlining the first chapter of building ACAI, an Adaptive Cognitive AI Architecture. The guide focuses on establishing a minimal working backend using FastAPI, a Python-based web framework, connected through an orchestrator to a model service layer. To allow testing without external API credentials, the initial implementation uses a mock AI model that returns placeholder responses. The project follows a structured directory layout and relies on tools including Pydantic, Uvicorn, and python-dotenv for configuration and validation. The tutorial is designed as a staged series, with later chapters intended to replace the mock model with real AI provider integrations.

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