MirahLabs Engineering Blog
Technical insights, architectural deep-dives, and system designs authored by our product engineers and AI research leads.
Scaling Python Flask Applications with PostgreSQL
Best practices for configuring database pools, write indexes, caching, and utilizing Docker deployment structures for Flask backends.
The Future of Generative AI in Healthcare Systems
Exploring how Large Language Models and semantic context-aware assistants are modernizing diagnosis, telemedicine, and record management.
Celery and Redis: Background Job Processing at Scale
Background tasks are essential for responsive web applications. Learn how to design reliable Celery task queues with Redis, handle retries, monitor with Flower, and avoid common pitfalls.
Advanced Python Generators: Coroutines, Subgenerators, and yield from
Generators are more than lazy lists. Master coroutine communication, two-way data streaming, and delegation using the `yield from` expression.
Graph Neural Networks (GNNs): Concepts and Practical Applications
Graph Neural Networks (GNNs) extend deep learning to non-Euclidean domains. Explore graph convolutions, message passing, and real-world applications in recommendation systems.
Trunk-Based Development: The CI/CD Strategy That Powers FAANG
Trunk-based development eliminates long-lived feature branches and keeps the main branch always deployable. Learn how to implement it with feature flags and automated testing.