A developer's AI engineering series explains how an LLM reaches a database through tool use, building on prior lessons about structured outputs and the messages array. The writeup walks through a cust…
A developer's AI engineering series (aie_2.2) explains how to get reliable JSON from an LLM using structured outputs, framing the model as a new assistant that must return data in a consistent layout …
A developer published a tutorial showing how to build a Python-based conversation engine that gives a large language model the appearance of memory by resending the full message history with every API…
A developer's technical lesson explains that large language models are stateless prediction machines with no built-in memory, and that the appearance of conversational recall comes from the messages a…
A developer published a step-by-step guide for making a first LLM API call in Python, walking through setting up a virtual environment, installing the Anthropic SDK and python-dotenv, and calling Clau…
A developer published an introductory guide to AI engineering explaining that traditional deterministic software fails on tasks like detecting customer frustration, while large language models work as…