AI-first engineering organizations are shifting their processes because writing code is no longer the bottleneck, with verification, code review, and security consuming the time previously spent typin…
Anthropic's Claude Skills, a set of agentic tools, should include three core capabilities for engineering organizations: create-service, deploy-service, and service-debugging, according to a post by a…
G-Eval, a prompting framework from Microsoft researchers that uses a large language model as a reference-free evaluator of generated text, scores open-ended outputs in a way that aligns with human jud…
AI workflows require topological sorting to ensure tasks execute in correct dependency order, as consumers cannot run before their producers finish. Directed acyclic graphs (DAGs) model these workflow…
Large language models like ChatGPT, Gemini, and Claude operate as next-token prediction machines, generating text by repeatedly calculating probability distributions over their vocabulary for what tok…
Production RAG systems often fail after moving beyond demo stage due to underbuilt indexing, retrieval, and observability layers. The indexing pipeline ingests documents into chunks and vector embeddi…
Every interaction with a modern large language model is structured as a list of messages, each tagged with a role—system, user, or assistant—that shapes how the model responds and how context is manag…
Large language models like ChatGPT, Gemini, and Claude operate as next-token prediction machines, taking a sequence of tokens as input and outputting a probability distribution over their vocabulary f…