dbt Labs has launched dbt Agent Skills, a new feature in dbt Cloud. It allows developers to package data logic into reusable "skills" for AI agents. This helps agents answer data-related questions more reliably and accurately by using pre-defined logic instead of generating SQL from scratch.
A developer created Mnemara, a context management tool, initially for cloud models like Claude. They discovered it was not effective for cloud models but proved highly valuable for local models like Gemma 9B, which have smaller context windows that fill up quickly during complex workflows.
Standard Retrieval-Augmented Generation (RAG) struggles with complex enterprise data like supply chains. While vector search finds similar text, it misses crucial relationships. Graph-enhanced RAG is emerging as a superior method, helping AI understand structure and answer multi-step questions more effectively.
Anthropic has released new context management tools for its Claude AI, giving developers more precise control over model interactions. Reports also highlight the Claude Opus model's high efficiency for frontend development tasks and its unique agentic behaviors compared to competitors.
A new project called Halupedia is an encyclopedia where every article is generated by an AI when a user clicks a link. The content, including footnotes, is entirely fabricated. The project addresses internal consistency by embedding context summaries within links to guide future article generation.