AI native flights search built in a weekend

📰 Dev.to AI

Learn how FlightZombie, an AI native flights search engine, was built in a weekend using microservices architecture and AI technologies

intermediate Published 11 May 2026

Action Steps

Design a microservices-based architecture for an AI native search engine
Implement a natural language processing (NLP) model for user query understanding
Integrate a machine learning (ML) model for flight data processing and ranking
Use APIs to fetch and aggregate flight data from multiple sources
Deploy the application using a cloud-based platform for scalability and reliability

Who Needs to Know This

Developers and engineers can benefit from understanding the technical aspects of building an AI native search engine, while product managers can learn from the project's rapid development and potential applications

Key Insight

💡 Microservices architecture and AI technologies can be leveraged to build complex search engines quickly and efficiently