DeepSeek’s harness framework is the open-source evaluation engine behind many of its published results. This post unpacks the architecture, walks through adding a custom task, and shows how to run reproducible evals at scale.
Claude loop engineering is the practice of building bounded, observable, tool-using agentic workflows on top of Anthropic’s Claude. This post covers loop anatomy, stop conditions, tool design, and the production patterns that keep agents from drifting, looping forever, or burning budget.
Prompt engineering is shrinking inside the model. Context engineering — choosing what goes into the window — is now the lever for quality, cost, and reliability.
A practical engineering guide to securing LLM features: prompt injection defenses, audit logging, eval-driven red teaming, and the governance patterns teams need before launch.
How to design, build, and operate production systems on the Claude API — covering architecture, streaming, tool use, prompt caching, evals, and cost control.