Reliability Engineering

Tired of writing endless unit tests only to find bugs in production? Let's explore property-based testing with Hypothesis, a smarter way to find hidden bugs by testing behaviors, not just examples.

Training massive AI models is incredibly fragile—one chip failure can halt everything. Google DeepMind's new Decoupled DiLoCo system fixes this by creating 'self-healing' islands of compute that could change how we build AI.

Ever wanted to build a powerful background job system without the headache of setting up Redis? Let's walk through how to use Huey with a simple SQLite database to handle retries, scheduled tasks, and complex workflows.

We're taught that more data is always better for AI. But adding every feature you can find—the "kitchen sink" approach—often creates fragile, unstable models that fail in production. Here's why.

Ever been woken up by a 3 AM pager alert? We walk through how to build a multi-agent AI system with Haystack that can autonomously detect, investigate, and even write postmortems for production incidents.

Ever watched a tiny service hiccup spiral into a full-blown outage? It's often the "helpful" retries that are to blame. Let's break down why this happens and compare how RPC and event-driven architectures handle the pressure.