<ul data-eligibleForWebStory="true"><li>A developer worked on a financial market data microservice project with various technologies like FastAPI, Docker Compose, PostgreSQL, Redis, Kafka, and Cursor AI.</li><li>The project involved purpose-driven AI orchestration with clear goals, adherence to project rules, and rigorous validation of AI-generated fixes.</li><li>The architecture included components like FastAPI with dependency injection, PostgreSQL via SQLAlchemy ORM, Redis caching, Kafka, Docker Compose, Prometheus metrics integration, Grafana dashboard, structured logging, and GitHub Actions for CI/CD.</li><li>The developer learned to handle Redis connection failures, manage Kafka consumer groups effectively, implement async await patterns, and build robust error handling for external API dependencies.</li></ul>

Automating Persistent AI On the Fly

Discover more