Production

Diagram of an LLM agent architecture with tools, memory, and a controller loop.

Building Effective Agents: Patterns That Survive Production

Most agent demos die in production. Here’s a practitioner’s playbook for designing LLM agents that are observable, testable, and actually ship.

FastAPI service diagram showing async request flow to a GPU inference worker.

FastAPI for AI Engineers: Production Patterns That Actually Ship

How to build FastAPI services that survive contact with GPU workloads, long inference calls, and real users. Patterns, anti-patterns, and production code.

A microcontroller board beside a tiny neural network diagram.

Optimizing Small Language Models for Local Edge Inference: Techniques, Constraints, and Production Deployment Patterns

Learn practical techniques to squeeze LLMs onto edge hardware, manage resource limits, and apply proven deployment patterns.

Short description of the cover image subject.

Implementing eBPF for Production Observability: A Deep Dive into High-Performance System Tracing and Monitoring

A practical guide to integrating eBPF into production observability stacks, with architecture diagrams, code snippets, and lessons from large‑scale deployments.

Dashboard view of Sentry error monitoring UI.

Mastering Sentry: Implementing Modern Error Monitoring and Observability for Production-Ready Applications

A hands‑on guide to deploying Sentry for error monitoring, performance tracing, and observability in large‑scale production services.