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QuicklyCook

An AI-assisted recipe product built around request processing, asynchronous generation, and commerce-aware application services.

QuicklyCook uses a .NET 8 backend and supporting worker pipeline to turn recipe prompts into structured outputs, persist user data, and move generation work through AWS and messaging-backed processing paths.

What this involved

The main service uses ASP.NET Core, Entity Framework Core, MySQL, Identity, and HTTP-based OpenAI integration to generate structured recipe content from natural-language prompts.

A companion consumer service adds asynchronous processing with AWS Lambda packages, Amazon SQS, RabbitMQ, and Redis, which is the kind of shape you use when generation or post-processing needs to move off the request path.

The platform also includes Stripe integration and user/account flows, which makes it more than a prompt demo and closer to a monetizable consumer product foundation.

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Capabilities shown

AI workflow orchestrationAsynchronous processingBackend architectureMessagingPayments

Technology stack

ASP.NET Core.NET 8Entity Framework CoreMySQLAWS LambdaAmazon SQSRabbitMQRedisOpenAIStripe