Instead of hiding business rules inside technical layers, I'll show how to keep them visible and explicit in the code. The code reads like the original Gherkin scenario.
Multi-agent AI streamlines warehouse logistics by coordinating inventory, fulfillment, and automation in real time to improve efficiency and reduce costs.
Discover architectural patterns for integrating AI into enterprise systems without sacrificing governance, reliability, observability, or loose coupling.
In this blog post, we will see how to perform a performance test on a retrieval-augmented generation (RAG) application properly, covering both speed and correctness.
Temporal replaces complex retry, recovery, and queue-handling logic with durable workflows that automatically recover from failures and resume execution reliably.
Learn how AI, observability, predictive maintenance, and resilience are helping service organizations move beyond reactive operations and improve uptime.
Direct storage URLs broke under production constraints, so I replaced them with a UUID-based media proxy for auth, thumbnails, bulk downloads, and storage abstraction.
Candidates must demonstrate strong SQL, Python, data modeling, ETL, Spark, data warehousing, and system design expertise while solving real-world data challenges.